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You searched for +publisher:"University of Southern California" +contributor:("Itti, Laurent"). Showing records 1 – 28 of 28 total matches.

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University of Southern California

1. Noori, Nader. The symbolic working memory system.

Degree: PhD, Computer Science, 2013, University of Southern California

 The capacity of the brain in maintenance of task-relevant information over a short period of time is known to be crucial for performing a wide… (more)

Subjects/Keywords: working memory; short-term memory; cognition; brain; cognitive neuroscience; symbolic working memory; human brain; intellectual tasks; sensorimotor systems; symbolic intelligence; symbolically intelligent mind; embodied working memory system; grounded working memory system; mental task; memory

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APA (6th Edition):

Noori, N. (2013). The symbolic working memory system. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/356011/rec/7336

Chicago Manual of Style (16th Edition):

Noori, Nader. “The symbolic working memory system.” 2013. Doctoral Dissertation, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/356011/rec/7336.

MLA Handbook (7th Edition):

Noori, Nader. “The symbolic working memory system.” 2013. Web. 29 Mar 2020.

Vancouver:

Noori N. The symbolic working memory system. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/356011/rec/7336.

Council of Science Editors:

Noori N. The symbolic working memory system. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/356011/rec/7336


University of Southern California

2. Tseng, Po-He. Eye-trace signatures of clinical populations under natural viewing.

Degree: PhD, Computer Science, 2012, University of Southern California

 A significant problem in clinical diagnosis of certain neurobehavioral disorders is the overlap in observed behavioral deficits, which extensively complicates diagnosis by requiring additional neuropsychometric… (more)

Subjects/Keywords: attention deficits hyperactivity disorder; eye movements; fetal alcohol spectrum disorder; machine learning; natural scenes; Parkinson'; s disease

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APA (6th Edition):

Tseng, P. (2012). Eye-trace signatures of clinical populations under natural viewing. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/125265/rec/2694

Chicago Manual of Style (16th Edition):

Tseng, Po-He. “Eye-trace signatures of clinical populations under natural viewing.” 2012. Doctoral Dissertation, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/125265/rec/2694.

MLA Handbook (7th Edition):

Tseng, Po-He. “Eye-trace signatures of clinical populations under natural viewing.” 2012. Web. 29 Mar 2020.

Vancouver:

Tseng P. Eye-trace signatures of clinical populations under natural viewing. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/125265/rec/2694.

Council of Science Editors:

Tseng P. Eye-trace signatures of clinical populations under natural viewing. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/125265/rec/2694


University of Southern California

3. Lee, Tae-Ho. The emotional arousal effects on visual processing.

Degree: PhD, Psychology, 2015, University of Southern California

 The carry‐over effects of emotional arousal on visual processing are not consistent across studies. For example, whereas some studies reveal emotion‐induced enhancement of subsequent visual… (more)

Subjects/Keywords: arousal biased competition; emotion; emotional arousal; visual processing; visual perception; human fear‐conditioning; perceptual learning; emotion‐induced enhancement and impairment

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APA (6th Edition):

Lee, T. (2015). The emotional arousal effects on visual processing. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/555449/rec/6678

Chicago Manual of Style (16th Edition):

Lee, Tae-Ho. “The emotional arousal effects on visual processing.” 2015. Doctoral Dissertation, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/555449/rec/6678.

MLA Handbook (7th Edition):

Lee, Tae-Ho. “The emotional arousal effects on visual processing.” 2015. Web. 29 Mar 2020.

Vancouver:

Lee T. The emotional arousal effects on visual processing. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/555449/rec/6678.

Council of Science Editors:

Lee T. The emotional arousal effects on visual processing. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/555449/rec/6678


University of Southern California

4. Wang, Jingwei. Depth inference and visual saliency detection from 2D images.

Degree: PhD, Electrical Engineering, 2013, University of Southern California

 With the rapid development of 3D vision technology, it is an active research topic to recover the depth information from 2D images. Current solutions heavily… (more)

Subjects/Keywords: 2D; 3D; depth; saliency; image

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APA (6th Edition):

Wang, J. (2013). Depth inference and visual saliency detection from 2D images. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/293350/rec/1843

Chicago Manual of Style (16th Edition):

Wang, Jingwei. “Depth inference and visual saliency detection from 2D images.” 2013. Doctoral Dissertation, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/293350/rec/1843.

MLA Handbook (7th Edition):

Wang, Jingwei. “Depth inference and visual saliency detection from 2D images.” 2013. Web. 29 Mar 2020.

Vancouver:

Wang J. Depth inference and visual saliency detection from 2D images. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/293350/rec/1843.

Council of Science Editors:

Wang J. Depth inference and visual saliency detection from 2D images. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/293350/rec/1843


University of Southern California

5. Lee, Jinyong. Linking eyes to mouth: a schema-based computational model for describing visual scenes.

Degree: PhD, Computer Science, 2012, University of Southern California

 The present thesis is part of a larger effort to locate the production and perception of language within the broader context of brain mechanisms for… (more)

Subjects/Keywords: language model; construction grammar; eye-tracking; schema theory; neurolinguistics; psycholinguistics

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APA (6th Edition):

Lee, J. (2012). Linking eyes to mouth: a schema-based computational model for describing visual scenes. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/85951/rec/3832

Chicago Manual of Style (16th Edition):

Lee, Jinyong. “Linking eyes to mouth: a schema-based computational model for describing visual scenes.” 2012. Doctoral Dissertation, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/85951/rec/3832.

MLA Handbook (7th Edition):

Lee, Jinyong. “Linking eyes to mouth: a schema-based computational model for describing visual scenes.” 2012. Web. 29 Mar 2020.

Vancouver:

Lee J. Linking eyes to mouth: a schema-based computational model for describing visual scenes. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/85951/rec/3832.

Council of Science Editors:

Lee J. Linking eyes to mouth: a schema-based computational model for describing visual scenes. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/85951/rec/3832


University of Southern California

6. Voorhies, Randolph Charles. Efficient SLAM for scanning LiDAR sensors using combined plane and point features.

Degree: PhD, Computer Science, 2015, University of Southern California

 This work presents a novel SLAM algorithm for scanning (Velodyne style) LiDAR sensors. A Hough transform algorithm is first derived which exploits the unique geometry… (more)

Subjects/Keywords: SLAM; LiDAR; plane detection; robotics; ICP

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APA (6th Edition):

Voorhies, R. C. (2015). Efficient SLAM for scanning LiDAR sensors using combined plane and point features. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/600729/rec/2248

Chicago Manual of Style (16th Edition):

Voorhies, Randolph Charles. “Efficient SLAM for scanning LiDAR sensors using combined plane and point features.” 2015. Doctoral Dissertation, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/600729/rec/2248.

MLA Handbook (7th Edition):

Voorhies, Randolph Charles. “Efficient SLAM for scanning LiDAR sensors using combined plane and point features.” 2015. Web. 29 Mar 2020.

Vancouver:

Voorhies RC. Efficient SLAM for scanning LiDAR sensors using combined plane and point features. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/600729/rec/2248.

Council of Science Editors:

Voorhies RC. Efficient SLAM for scanning LiDAR sensors using combined plane and point features. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/600729/rec/2248


University of Southern California

7. Begley, Jeffrey Robert. Modeling the integration of salamander vision and behavior.

Degree: PhD, Computer Science, 2009, University of Southern California

 This thesis examines the behavioral consequences of motion sensitivity of salamanders' visual neurons. The analysis is centered on a correlation-based motion detector model of motion-sensitive… (more)

Subjects/Keywords: salmander vision; motion sensitivity; CPG-based locomotion; neural locomotion steering; numerical preference; numerical discrimination; brain modeling

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APA (6th Edition):

Begley, J. R. (2009). Modeling the integration of salamander vision and behavior. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/242256/rec/4145

Chicago Manual of Style (16th Edition):

Begley, Jeffrey Robert. “Modeling the integration of salamander vision and behavior.” 2009. Doctoral Dissertation, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/242256/rec/4145.

MLA Handbook (7th Edition):

Begley, Jeffrey Robert. “Modeling the integration of salamander vision and behavior.” 2009. Web. 29 Mar 2020.

Vancouver:

Begley JR. Modeling the integration of salamander vision and behavior. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/242256/rec/4145.

Council of Science Editors:

Begley JR. Modeling the integration of salamander vision and behavior. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/242256/rec/4145


University of Southern California

8. Berg, David J. Spatiotemporal processing of saliency signals in the primate: a behavioral and neurophysiological investigation.

Degree: PhD, Neuroscience, 2014, University of Southern California

 To quickly locate and discriminate visual events important for an organisms survival is a complex task. The visual systems of mammals evolved specialized heuristics to… (more)

Subjects/Keywords: saliency; computational model; eye movements; attention; monkey

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APA (6th Edition):

Berg, D. J. (2014). Spatiotemporal processing of saliency signals in the primate: a behavioral and neurophysiological investigation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/250446/rec/5985

Chicago Manual of Style (16th Edition):

Berg, David J. “Spatiotemporal processing of saliency signals in the primate: a behavioral and neurophysiological investigation.” 2014. Doctoral Dissertation, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/250446/rec/5985.

MLA Handbook (7th Edition):

Berg, David J. “Spatiotemporal processing of saliency signals in the primate: a behavioral and neurophysiological investigation.” 2014. Web. 29 Mar 2020.

Vancouver:

Berg DJ. Spatiotemporal processing of saliency signals in the primate: a behavioral and neurophysiological investigation. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/250446/rec/5985.

Council of Science Editors:

Berg DJ. Spatiotemporal processing of saliency signals in the primate: a behavioral and neurophysiological investigation. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/250446/rec/5985


University of Southern California

9. Herman, David H. Quantification and modeling of sensorimotor dynamics in active whisking.

Degree: PhD, Neuroscience, 2014, University of Southern California

 The majority of sensory systems do not passively interact with the world. Most organisms build a model of their environment by engaging targeted stimuli and… (more)

Subjects/Keywords: whisker; whisking; gap crossing; sensorimotor

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APA (6th Edition):

Herman, D. H. (2014). Quantification and modeling of sensorimotor dynamics in active whisking. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/416987/rec/5339

Chicago Manual of Style (16th Edition):

Herman, David H. “Quantification and modeling of sensorimotor dynamics in active whisking.” 2014. Doctoral Dissertation, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/416987/rec/5339.

MLA Handbook (7th Edition):

Herman, David H. “Quantification and modeling of sensorimotor dynamics in active whisking.” 2014. Web. 29 Mar 2020.

Vancouver:

Herman DH. Quantification and modeling of sensorimotor dynamics in active whisking. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/416987/rec/5339.

Council of Science Editors:

Herman DH. Quantification and modeling of sensorimotor dynamics in active whisking. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/416987/rec/5339


University of Southern California

10. Parks, Daniel. Gaze following in natural scenes: quantifying its role in eye movements, towards a more complete model of free-viewing behavior.

Degree: PhD, Neuroscience, 2016, University of Southern California

 The direction of gaze is an important means of communication among humans and apes. Although several studies have looked into gaze direction in the context… (more)

Subjects/Keywords: saliency modeling; eye-tracking; fixation prediction; autism spectrum

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APA (6th Edition):

Parks, D. (2016). Gaze following in natural scenes: quantifying its role in eye movements, towards a more complete model of free-viewing behavior. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/544982/rec/2965

Chicago Manual of Style (16th Edition):

Parks, Daniel. “Gaze following in natural scenes: quantifying its role in eye movements, towards a more complete model of free-viewing behavior.” 2016. Doctoral Dissertation, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/544982/rec/2965.

MLA Handbook (7th Edition):

Parks, Daniel. “Gaze following in natural scenes: quantifying its role in eye movements, towards a more complete model of free-viewing behavior.” 2016. Web. 29 Mar 2020.

Vancouver:

Parks D. Gaze following in natural scenes: quantifying its role in eye movements, towards a more complete model of free-viewing behavior. [Internet] [Doctoral dissertation]. University of Southern California; 2016. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/544982/rec/2965.

Council of Science Editors:

Parks D. Gaze following in natural scenes: quantifying its role in eye movements, towards a more complete model of free-viewing behavior. [Doctoral Dissertation]. University of Southern California; 2016. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/544982/rec/2965


University of Southern California

11. Leung, Tung-Sing. Outdoor visual navigation aid for the blind in dynamic environments.

Degree: PhD, Computer Science, 2015, University of Southern California

 This thesis proposes a visual navigation aid for the blind. Our goal is to develop a wearable system to help the Visually Impaired (VI) navigate… (more)

Subjects/Keywords: visually impaired; visual odometry; localization; computer vision

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APA (6th Edition):

Leung, T. (2015). Outdoor visual navigation aid for the blind in dynamic environments. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/586493/rec/4650

Chicago Manual of Style (16th Edition):

Leung, Tung-Sing. “Outdoor visual navigation aid for the blind in dynamic environments.” 2015. Doctoral Dissertation, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/586493/rec/4650.

MLA Handbook (7th Edition):

Leung, Tung-Sing. “Outdoor visual navigation aid for the blind in dynamic environments.” 2015. Web. 29 Mar 2020.

Vancouver:

Leung T. Outdoor visual navigation aid for the blind in dynamic environments. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/586493/rec/4650.

Council of Science Editors:

Leung T. Outdoor visual navigation aid for the blind in dynamic environments. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/586493/rec/4650


University of Southern California

12. Lin, Yuping. Accurate image registration through 3D reconstruction.

Degree: PhD, Computer Science, 2010, University of Southern California

 Image registration is a fundamental problem in image analysis, and is used in a variety of applications such as tracking, moving object detection, remote sensing,… (more)

Subjects/Keywords: image registration; 3D reconstruction

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APA (6th Edition):

Lin, Y. (2010). Accurate image registration through 3D reconstruction. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/364479/rec/484

Chicago Manual of Style (16th Edition):

Lin, Yuping. “Accurate image registration through 3D reconstruction.” 2010. Doctoral Dissertation, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/364479/rec/484.

MLA Handbook (7th Edition):

Lin, Yuping. “Accurate image registration through 3D reconstruction.” 2010. Web. 29 Mar 2020.

Vancouver:

Lin Y. Accurate image registration through 3D reconstruction. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/364479/rec/484.

Council of Science Editors:

Lin Y. Accurate image registration through 3D reconstruction. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/364479/rec/484


University of Southern California

13. Bonaiuto, James J. Modeling the mirror system in action observation and execution.

Degree: PhD, Neuroscience, 2010, University of Southern California

 Both premotor and parietal cortex of the macaque brain contain mirror neurons each of which fires vigorously both when the monkey executes a certain limited… (more)

Subjects/Keywords: mirror system; motor control; action recognition; synthetic brain imaging; computational modeling; reinforcement learning; reaching and grasping

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APA (6th Edition):

Bonaiuto, J. J. (2010). Modeling the mirror system in action observation and execution. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/375965/rec/4147

Chicago Manual of Style (16th Edition):

Bonaiuto, James J. “Modeling the mirror system in action observation and execution.” 2010. Doctoral Dissertation, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/375965/rec/4147.

MLA Handbook (7th Edition):

Bonaiuto, James J. “Modeling the mirror system in action observation and execution.” 2010. Web. 29 Mar 2020.

Vancouver:

Bonaiuto JJ. Modeling the mirror system in action observation and execution. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/375965/rec/4147.

Council of Science Editors:

Bonaiuto JJ. Modeling the mirror system in action observation and execution. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/375965/rec/4147


University of Southern California

14. Mundhenk, Terrell Nathan. Computational modeling and utilization of attention, surprise and attention gating Page 1.

Degree: PhD, Computer Science, 2009, University of Southern California

 What draws in human attention and can we create computational models of it which work the same way? Here we explore this question with several… (more)

Subjects/Keywords: surprise; attention; computation; gating; vision; tracking; statistics; Bayes; saliency; contour; integration; Nerd-Cam; CINNIC; MAG; H2SV; information; visual cortex; biologically inspired; spot light; human performance; visual saliency; iLab; Neuromorphic Vision Toolkit; image processing; RSVP; attentional blink; masking; detection; Itti; Koch

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APA (6th Edition):

Mundhenk, T. N. (2009). Computational modeling and utilization of attention, surprise and attention gating Page 1. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/15526/rec/1547

Chicago Manual of Style (16th Edition):

Mundhenk, Terrell Nathan. “Computational modeling and utilization of attention, surprise and attention gating Page 1.” 2009. Doctoral Dissertation, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/15526/rec/1547.

MLA Handbook (7th Edition):

Mundhenk, Terrell Nathan. “Computational modeling and utilization of attention, surprise and attention gating Page 1.” 2009. Web. 29 Mar 2020.

Vancouver:

Mundhenk TN. Computational modeling and utilization of attention, surprise and attention gating Page 1. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/15526/rec/1547.

Council of Science Editors:

Mundhenk TN. Computational modeling and utilization of attention, surprise and attention gating Page 1. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/15526/rec/1547


University of Southern California

15. Nandy, Anirvan S. Crowding and form vision deficits in peripheral vision.

Degree: PhD, Psychology, 2010, University of Southern California

 Visual crowding is an ubiquitous limitation of peripheral vision and manifests itself as the marked inability to identify shapes when targets are flanked by other… (more)

Subjects/Keywords: peripheral vision; crowding; form vision; computational modeling; visual psychophysics; AMD

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APA (6th Edition):

Nandy, A. S. (2010). Crowding and form vision deficits in peripheral vision. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/335299/rec/1714

Chicago Manual of Style (16th Edition):

Nandy, Anirvan S. “Crowding and form vision deficits in peripheral vision.” 2010. Doctoral Dissertation, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/335299/rec/1714.

MLA Handbook (7th Edition):

Nandy, Anirvan S. “Crowding and form vision deficits in peripheral vision.” 2010. Web. 29 Mar 2020.

Vancouver:

Nandy AS. Crowding and form vision deficits in peripheral vision. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/335299/rec/1714.

Council of Science Editors:

Nandy AS. Crowding and form vision deficits in peripheral vision. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/335299/rec/1714


University of Southern California

16. Lescroart, Mark Daniel. The representation of medial axes in the perception of shape.

Degree: PhD, Neuroscience, 2011, University of Southern California

 Aristotle famously said that vision is “to know what is where, by looking”—but that is not the whole story. Vision is also to know what… (more)

Subjects/Keywords: vision; medial axis; object recognition; fMRI; mental rotation; multi-voxel pattern classification

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APA (6th Edition):

Lescroart, M. D. (2011). The representation of medial axes in the perception of shape. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/430629/rec/7170

Chicago Manual of Style (16th Edition):

Lescroart, Mark Daniel. “The representation of medial axes in the perception of shape.” 2011. Doctoral Dissertation, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/430629/rec/7170.

MLA Handbook (7th Edition):

Lescroart, Mark Daniel. “The representation of medial axes in the perception of shape.” 2011. Web. 29 Mar 2020.

Vancouver:

Lescroart MD. The representation of medial axes in the perception of shape. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/430629/rec/7170.

Council of Science Editors:

Lescroart MD. The representation of medial axes in the perception of shape. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/430629/rec/7170


University of Southern California

17. Kite, Lawrence Marc. The importance of not being mean: DFM  – a norm-referenced data model for face pattern recognition.

Degree: PhD, Computer Science, 2009, University of Southern California

 A successful, mature system for face recognition, Elastic Bunch Graph Matching, represents a human face as a graph in which nodes are labeled with double… (more)

Subjects/Keywords: face recognition; face representation; face processing; face information

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APA (6th Edition):

Kite, L. M. (2009). The importance of not being mean: DFM  – a norm-referenced data model for face pattern recognition. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/240048/rec/6857

Chicago Manual of Style (16th Edition):

Kite, Lawrence Marc. “The importance of not being mean: DFM  – a norm-referenced data model for face pattern recognition.” 2009. Doctoral Dissertation, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/240048/rec/6857.

MLA Handbook (7th Edition):

Kite, Lawrence Marc. “The importance of not being mean: DFM  – a norm-referenced data model for face pattern recognition.” 2009. Web. 29 Mar 2020.

Vancouver:

Kite LM. The importance of not being mean: DFM  – a norm-referenced data model for face pattern recognition. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/240048/rec/6857.

Council of Science Editors:

Kite LM. The importance of not being mean: DFM  – a norm-referenced data model for face pattern recognition. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/240048/rec/6857


University of Southern California

18. Viswanathan, Manu. Mobile robot obstacle avoidance using a computational model of the locust brain.

Degree: MS, Computer Science (Robotics & Automation), 2011, University of Southern California

 The Lobula Giant Movement Detector (LGMD), a visual interneuron in the locust's brain, responds preferentially to objects approaching along collisional trajectories. The goal of the… (more)

Subjects/Keywords: mobile robotics; insect vision; collision detection; time-to-impact; obstacle avoidance; locust LGMD; probabilistic sensor model; Bayesian state estimation

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APA (6th Edition):

Viswanathan, M. (2011). Mobile robot obstacle avoidance using a computational model of the locust brain. (Masters Thesis). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/433779/rec/4101

Chicago Manual of Style (16th Edition):

Viswanathan, Manu. “Mobile robot obstacle avoidance using a computational model of the locust brain.” 2011. Masters Thesis, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/433779/rec/4101.

MLA Handbook (7th Edition):

Viswanathan, Manu. “Mobile robot obstacle avoidance using a computational model of the locust brain.” 2011. Web. 29 Mar 2020.

Vancouver:

Viswanathan M. Mobile robot obstacle avoidance using a computational model of the locust brain. [Internet] [Masters thesis]. University of Southern California; 2011. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/433779/rec/4101.

Council of Science Editors:

Viswanathan M. Mobile robot obstacle avoidance using a computational model of the locust brain. [Masters Thesis]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/433779/rec/4101


University of Southern California

19. Siagian, Christian. Biologically inspired mobile robot vision localization.

Degree: PhD, Computer Science (Robotics & Automation), 2009, University of Southern California

 The problem of localization is central to endowing mobile machines with intelligence. Vision is a promising research path because of its versatility and robustness in… (more)

Subjects/Keywords: vision localization; robot localization; saliency; gist; biologically-inspired vision

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APA (6th Edition):

Siagian, C. (2009). Biologically inspired mobile robot vision localization. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/184573/rec/1120

Chicago Manual of Style (16th Edition):

Siagian, Christian. “Biologically inspired mobile robot vision localization.” 2009. Doctoral Dissertation, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/184573/rec/1120.

MLA Handbook (7th Edition):

Siagian, Christian. “Biologically inspired mobile robot vision localization.” 2009. Web. 29 Mar 2020.

Vancouver:

Siagian C. Biologically inspired mobile robot vision localization. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/184573/rec/1120.

Council of Science Editors:

Siagian C. Biologically inspired mobile robot vision localization. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/184573/rec/1120


University of Southern California

20. Parikh, Neha. Saliency based image processing to aid retinal prosthesis recipients.

Degree: PhD, Biomedical Engineering, 2011, University of Southern California

 Diseases like Retinitis Pigmentosa and Age-related Macular Degeneration result in a gradual and progressive loss of photoreceptors leading to blindness. A retinal prosthesis device imparts… (more)

Subjects/Keywords: saliency; retinal prosthesis; image processing; DSP

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APA (6th Edition):

Parikh, N. (2011). Saliency based image processing to aid retinal prosthesis recipients. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/375101/rec/5671

Chicago Manual of Style (16th Edition):

Parikh, Neha. “Saliency based image processing to aid retinal prosthesis recipients.” 2011. Doctoral Dissertation, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/375101/rec/5671.

MLA Handbook (7th Edition):

Parikh, Neha. “Saliency based image processing to aid retinal prosthesis recipients.” 2011. Web. 29 Mar 2020.

Vancouver:

Parikh N. Saliency based image processing to aid retinal prosthesis recipients. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/375101/rec/5671.

Council of Science Editors:

Parikh N. Saliency based image processing to aid retinal prosthesis recipients. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/375101/rec/5671


University of Southern California

21. Cabrera, Carlos Alexander. Components of noise in signal detection tasks.

Degree: PhD, Neuroscience, 2012, University of Southern California

 Over the last century, researchers have contributed greatly to our knowledge of normative decision-making for a broad array of conditions and contexts. However,significant progress in… (more)

Subjects/Keywords: signal detection theory; internal noise; decision noise; decision criteria; double-pass; multi-pass; rating procedure

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APA (6th Edition):

Cabrera, C. A. (2012). Components of noise in signal detection tasks. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/206499/rec/1528

Chicago Manual of Style (16th Edition):

Cabrera, Carlos Alexander. “Components of noise in signal detection tasks.” 2012. Doctoral Dissertation, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/206499/rec/1528.

MLA Handbook (7th Edition):

Cabrera, Carlos Alexander. “Components of noise in signal detection tasks.” 2012. Web. 29 Mar 2020.

Vancouver:

Cabrera CA. Components of noise in signal detection tasks. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/206499/rec/1528.

Council of Science Editors:

Cabrera CA. Components of noise in signal detection tasks. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/206499/rec/1528


University of Southern California

22. Sutherland, Matthew Ryan. Emotion, attention and cognitive aging: the effects of emotional arousal on subsequent visual processing.

Degree: PhD, Psychology, 2014, University of Southern California

 Emotional arousal changes the way visual information is selectively processed. Emotional stimuli dominate attention and are better remembered at the expense of competing stimuli. But… (more)

Subjects/Keywords: emotional arousal; attention; memory; cognitive aging

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APA (6th Edition):

Sutherland, M. R. (2014). Emotion, attention and cognitive aging: the effects of emotional arousal on subsequent visual processing. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/420227/rec/2309

Chicago Manual of Style (16th Edition):

Sutherland, Matthew Ryan. “Emotion, attention and cognitive aging: the effects of emotional arousal on subsequent visual processing.” 2014. Doctoral Dissertation, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/420227/rec/2309.

MLA Handbook (7th Edition):

Sutherland, Matthew Ryan. “Emotion, attention and cognitive aging: the effects of emotional arousal on subsequent visual processing.” 2014. Web. 29 Mar 2020.

Vancouver:

Sutherland MR. Emotion, attention and cognitive aging: the effects of emotional arousal on subsequent visual processing. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/420227/rec/2309.

Council of Science Editors:

Sutherland MR. Emotion, attention and cognitive aging: the effects of emotional arousal on subsequent visual processing. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/420227/rec/2309


University of Southern California

23. Lu, Jianwei. Perceptual and computational mechanisms of feature-based attention.

Degree: PhD, Neuroscience, 2006, University of Southern California

 Visual attention modulates visual processing along at least three dimensions: A spatial dimension which enhances the representation of stimuli within the focus of attention, a… (more)

Subjects/Keywords: attention; psychophysics; fMRI; feature-based attention; object-based attention

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lu, J. (2006). Perceptual and computational mechanisms of feature-based attention. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/36959/rec/4978

Chicago Manual of Style (16th Edition):

Lu, Jianwei. “Perceptual and computational mechanisms of feature-based attention.” 2006. Doctoral Dissertation, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/36959/rec/4978.

MLA Handbook (7th Edition):

Lu, Jianwei. “Perceptual and computational mechanisms of feature-based attention.” 2006. Web. 29 Mar 2020.

Vancouver:

Lu J. Perceptual and computational mechanisms of feature-based attention. [Internet] [Doctoral dissertation]. University of Southern California; 2006. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/36959/rec/4978.

Council of Science Editors:

Lu J. Perceptual and computational mechanisms of feature-based attention. [Doctoral Dissertation]. University of Southern California; 2006. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/36959/rec/4978


University of Southern California

24. Choe, Tae Eun. Registration and 3-D reconstruction of a retinal fundus from a fluorescein images sequence.

Degree: PhD, Computer Science, 2007, University of Southern California

 Image registration and shape reconstruction of a retinal fundus from fluorescein images are important steps to diagnose retinal diseases. This is difficult due to intensity… (more)

Subjects/Keywords: registration; 3-D reconstruction; feature extraction; global registration; stereo matching

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APA (6th Edition):

Choe, T. E. (2007). Registration and 3-D reconstruction of a retinal fundus from a fluorescein images sequence. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/506533/rec/5481

Chicago Manual of Style (16th Edition):

Choe, Tae Eun. “Registration and 3-D reconstruction of a retinal fundus from a fluorescein images sequence.” 2007. Doctoral Dissertation, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/506533/rec/5481.

MLA Handbook (7th Edition):

Choe, Tae Eun. “Registration and 3-D reconstruction of a retinal fundus from a fluorescein images sequence.” 2007. Web. 29 Mar 2020.

Vancouver:

Choe TE. Registration and 3-D reconstruction of a retinal fundus from a fluorescein images sequence. [Internet] [Doctoral dissertation]. University of Southern California; 2007. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/506533/rec/5481.

Council of Science Editors:

Choe TE. Registration and 3-D reconstruction of a retinal fundus from a fluorescein images sequence. [Doctoral Dissertation]. University of Southern California; 2007. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/506533/rec/5481


University of Southern California

25. Carmi, Ran. Attention, movie cuts, and natural vision: a functional perspective.

Degree: PhD, Neuroscience, 2007, University of Southern California

 Paying attention to the right thing at the right time underlies the ability of humans and other animals to learn, perceive, and interact with their… (more)

Subjects/Keywords: attention; movie cuts; natural vision; natural scenes; saliency; eye-movements; modeling; computational neuroscience

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APA (6th Edition):

Carmi, R. (2007). Attention, movie cuts, and natural vision: a functional perspective. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/159403/rec/988

Chicago Manual of Style (16th Edition):

Carmi, Ran. “Attention, movie cuts, and natural vision: a functional perspective.” 2007. Doctoral Dissertation, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/159403/rec/988.

MLA Handbook (7th Edition):

Carmi, Ran. “Attention, movie cuts, and natural vision: a functional perspective.” 2007. Web. 29 Mar 2020.

Vancouver:

Carmi R. Attention, movie cuts, and natural vision: a functional perspective. [Internet] [Doctoral dissertation]. University of Southern California; 2007. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/159403/rec/988.

Council of Science Editors:

Carmi R. Attention, movie cuts, and natural vision: a functional perspective. [Doctoral Dissertation]. University of Southern California; 2007. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/159403/rec/988


University of Southern California

26. Navalpakkam, Vidhya. Integrating top-down and bottom-up visual attention.

Degree: PhD, Computer Science, 2006, University of Southern California

 Visual attention  – the brain's mechanism for selecting important visual information  – is influenced by a combination of bottom-up (sudden, unexpected visual events that are… (more)

Subjects/Keywords: visual attention; top-down; bottom-up; gain modulation; visual search; scene understanding

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APA (6th Edition):

Navalpakkam, V. (2006). Integrating top-down and bottom-up visual attention. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/31138/rec/3538

Chicago Manual of Style (16th Edition):

Navalpakkam, Vidhya. “Integrating top-down and bottom-up visual attention.” 2006. Doctoral Dissertation, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/31138/rec/3538.

MLA Handbook (7th Edition):

Navalpakkam, Vidhya. “Integrating top-down and bottom-up visual attention.” 2006. Web. 29 Mar 2020.

Vancouver:

Navalpakkam V. Integrating top-down and bottom-up visual attention. [Internet] [Doctoral dissertation]. University of Southern California; 2006. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/31138/rec/3538.

Council of Science Editors:

Navalpakkam V. Integrating top-down and bottom-up visual attention. [Doctoral Dissertation]. University of Southern California; 2006. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/31138/rec/3538


University of Southern California

27. Lance, Brent Jason. Procedural animation of emotionally expressive gaze shifts in virtual embodied characters.

Degree: PhD, Computer Science, 2008, University of Southern California

 Believably animated virtual human characters appear in many diverse fields of computer science research and areas of the technology industry, including video games, animated films,… (more)

Subjects/Keywords: procedural; animation; gaze; emotion; expression; virtual; embodied

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APA (6th Edition):

Lance, B. J. (2008). Procedural animation of emotionally expressive gaze shifts in virtual embodied characters. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/117103/rec/5242

Chicago Manual of Style (16th Edition):

Lance, Brent Jason. “Procedural animation of emotionally expressive gaze shifts in virtual embodied characters.” 2008. Doctoral Dissertation, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/117103/rec/5242.

MLA Handbook (7th Edition):

Lance, Brent Jason. “Procedural animation of emotionally expressive gaze shifts in virtual embodied characters.” 2008. Web. 29 Mar 2020.

Vancouver:

Lance BJ. Procedural animation of emotionally expressive gaze shifts in virtual embodied characters. [Internet] [Doctoral dissertation]. University of Southern California; 2008. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/117103/rec/5242.

Council of Science Editors:

Lance BJ. Procedural animation of emotionally expressive gaze shifts in virtual embodied characters. [Doctoral Dissertation]. University of Southern California; 2008. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/117103/rec/5242


University of Southern California

28. Wu, Shuang. A Bayesian framework of 2D image correspondence and 3D.

Degree: PhD, Physics, 2008, University of Southern California

 Structure-motion problem, the problem of estimating 3D shape of objects and their motions based on 2D image sequence, is a fundamental problem in vision research.… (more)

Subjects/Keywords: structure; motion; tracking; Bayesian

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APA (6th Edition):

Wu, S. (2008). A Bayesian framework of 2D image correspondence and 3D. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/39942/rec/49

Chicago Manual of Style (16th Edition):

Wu, Shuang. “A Bayesian framework of 2D image correspondence and 3D.” 2008. Doctoral Dissertation, University of Southern California. Accessed March 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/39942/rec/49.

MLA Handbook (7th Edition):

Wu, Shuang. “A Bayesian framework of 2D image correspondence and 3D.” 2008. Web. 29 Mar 2020.

Vancouver:

Wu S. A Bayesian framework of 2D image correspondence and 3D. [Internet] [Doctoral dissertation]. University of Southern California; 2008. [cited 2020 Mar 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/39942/rec/49.

Council of Science Editors:

Wu S. A Bayesian framework of 2D image correspondence and 3D. [Doctoral Dissertation]. University of Southern California; 2008. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/39942/rec/49

.