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You searched for +publisher:"University of North Carolina" +contributor:("Frahm, Jan-Michael"). Showing records 1 – 16 of 16 total matches.

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University of North Carolina

1. Raguram, Rahul. Efficient Algorithms for Robust Estimation.

Degree: Computer Science, 2013, University of North Carolina

 One of the most commonly encountered tasks in computer vision is the estimation of model parameters from image measurements. This scenario arises in a variety… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Computer Science

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APA (6th Edition):

Raguram, R. (2013). Efficient Algorithms for Robust Estimation. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:3afbd350-6f0e-425f-8d6e-5754cd0010a1

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Raguram, Rahul. “Efficient Algorithms for Robust Estimation.” 2013. Thesis, University of North Carolina. Accessed January 18, 2021. https://cdr.lib.unc.edu/record/uuid:3afbd350-6f0e-425f-8d6e-5754cd0010a1.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Raguram, Rahul. “Efficient Algorithms for Robust Estimation.” 2013. Web. 18 Jan 2021.

Vancouver:

Raguram R. Efficient Algorithms for Robust Estimation. [Internet] [Thesis]. University of North Carolina; 2013. [cited 2021 Jan 18]. Available from: https://cdr.lib.unc.edu/record/uuid:3afbd350-6f0e-425f-8d6e-5754cd0010a1.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Raguram R. Efficient Algorithms for Robust Estimation. [Thesis]. University of North Carolina; 2013. Available from: https://cdr.lib.unc.edu/record/uuid:3afbd350-6f0e-425f-8d6e-5754cd0010a1

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

2. Wang, Yilin. Efficient Techniques for High Resolution Stereo.

Degree: Computer Science, 2016, University of North Carolina

 The purpose of stereo is extracting 3-dimensional (3D) information from 2-dimensional (2D) images, which is a fundamental problem in computer vision. In general, given a… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Computer Science

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APA (6th Edition):

Wang, Y. (2016). Efficient Techniques for High Resolution Stereo. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:0ca95e06-f075-40f4-bba4-d8ec4b7fc369

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Yilin. “Efficient Techniques for High Resolution Stereo.” 2016. Thesis, University of North Carolina. Accessed January 18, 2021. https://cdr.lib.unc.edu/record/uuid:0ca95e06-f075-40f4-bba4-d8ec4b7fc369.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Yilin. “Efficient Techniques for High Resolution Stereo.” 2016. Web. 18 Jan 2021.

Vancouver:

Wang Y. Efficient Techniques for High Resolution Stereo. [Internet] [Thesis]. University of North Carolina; 2016. [cited 2021 Jan 18]. Available from: https://cdr.lib.unc.edu/record/uuid:0ca95e06-f075-40f4-bba4-d8ec4b7fc369.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang Y. Efficient Techniques for High Resolution Stereo. [Thesis]. University of North Carolina; 2016. Available from: https://cdr.lib.unc.edu/record/uuid:0ca95e06-f075-40f4-bba4-d8ec4b7fc369

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

3. Dou, Mingsong. Enhanced 3D Capture for Room-sized Dynamic Scenes with Commodity Depth Cameras.

Degree: Computer Science, 2015, University of North Carolina

 3D reconstruction of dynamic scenes can find many applications in areas such as virtual/augmented reality, 3D telepresence and 3D animation, while it is challenging to… (more)

Subjects/Keywords: Computer science; College of Arts and Sciences; Department of Computer Science

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APA (6th Edition):

Dou, M. (2015). Enhanced 3D Capture for Room-sized Dynamic Scenes with Commodity Depth Cameras. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:291f2a9e-855b-4cfb-b020-7a975eacf000

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dou, Mingsong. “Enhanced 3D Capture for Room-sized Dynamic Scenes with Commodity Depth Cameras.” 2015. Thesis, University of North Carolina. Accessed January 18, 2021. https://cdr.lib.unc.edu/record/uuid:291f2a9e-855b-4cfb-b020-7a975eacf000.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dou, Mingsong. “Enhanced 3D Capture for Room-sized Dynamic Scenes with Commodity Depth Cameras.” 2015. Web. 18 Jan 2021.

Vancouver:

Dou M. Enhanced 3D Capture for Room-sized Dynamic Scenes with Commodity Depth Cameras. [Internet] [Thesis]. University of North Carolina; 2015. [cited 2021 Jan 18]. Available from: https://cdr.lib.unc.edu/record/uuid:291f2a9e-855b-4cfb-b020-7a975eacf000.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dou M. Enhanced 3D Capture for Room-sized Dynamic Scenes with Commodity Depth Cameras. [Thesis]. University of North Carolina; 2015. Available from: https://cdr.lib.unc.edu/record/uuid:291f2a9e-855b-4cfb-b020-7a975eacf000

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

4. Maimone, Andrew. Computational See-Through Near-Eye Displays.

Degree: Computer Science, 2015, University of North Carolina

 See-through near-eye displays with the form factor and field of view of eyeglasses are a natural choice for augmented reality systems: the non-encumbering size enables… (more)

Subjects/Keywords: Computer science; Optics; College of Arts and Sciences; Department of Computer Science

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APA (6th Edition):

Maimone, A. (2015). Computational See-Through Near-Eye Displays. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:0fc8a610-feeb-4777-b925-5dbdd64e7e25

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Maimone, Andrew. “Computational See-Through Near-Eye Displays.” 2015. Thesis, University of North Carolina. Accessed January 18, 2021. https://cdr.lib.unc.edu/record/uuid:0fc8a610-feeb-4777-b925-5dbdd64e7e25.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Maimone, Andrew. “Computational See-Through Near-Eye Displays.” 2015. Web. 18 Jan 2021.

Vancouver:

Maimone A. Computational See-Through Near-Eye Displays. [Internet] [Thesis]. University of North Carolina; 2015. [cited 2021 Jan 18]. Available from: https://cdr.lib.unc.edu/record/uuid:0fc8a610-feeb-4777-b925-5dbdd64e7e25.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Maimone A. Computational See-Through Near-Eye Displays. [Thesis]. University of North Carolina; 2015. Available from: https://cdr.lib.unc.edu/record/uuid:0fc8a610-feeb-4777-b925-5dbdd64e7e25

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

5. Ordonez Roman, Vicente. Language and Perceptual Categorization in Computational Visual Recognition.

Degree: Computer Science, 2015, University of North Carolina

 Computational visual recognition or giving computers the ability to understand images as well as humans do is a core problem in Computer Vision. Traditional recognition… (more)

Subjects/Keywords: Computer science; College of Arts and Sciences; Department of Computer Science

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APA (6th Edition):

Ordonez Roman, V. (2015). Language and Perceptual Categorization in Computational Visual Recognition. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:188ef51f-d3dc-4216-97ea-07da5109a1a6

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ordonez Roman, Vicente. “Language and Perceptual Categorization in Computational Visual Recognition.” 2015. Thesis, University of North Carolina. Accessed January 18, 2021. https://cdr.lib.unc.edu/record/uuid:188ef51f-d3dc-4216-97ea-07da5109a1a6.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ordonez Roman, Vicente. “Language and Perceptual Categorization in Computational Visual Recognition.” 2015. Web. 18 Jan 2021.

Vancouver:

Ordonez Roman V. Language and Perceptual Categorization in Computational Visual Recognition. [Internet] [Thesis]. University of North Carolina; 2015. [cited 2021 Jan 18]. Available from: https://cdr.lib.unc.edu/record/uuid:188ef51f-d3dc-4216-97ea-07da5109a1a6.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ordonez Roman V. Language and Perceptual Categorization in Computational Visual Recognition. [Thesis]. University of North Carolina; 2015. Available from: https://cdr.lib.unc.edu/record/uuid:188ef51f-d3dc-4216-97ea-07da5109a1a6

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

6. Kim, Sujeong. Velocity-Space Reasoning for Interactive Simulation of Dynamic Crowd Behaviors.

Degree: Computer Science, 2015, University of North Carolina

 The problem of simulating a large number of independent entities, interacting with each other and moving through a shared space, has received considerable attention in… (more)

Subjects/Keywords: Computer science; College of Arts and Sciences; Department of Computer Science

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APA (6th Edition):

Kim, S. (2015). Velocity-Space Reasoning for Interactive Simulation of Dynamic Crowd Behaviors. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:64b49566-57aa-4e6d-86e9-9c408794be4b

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kim, Sujeong. “Velocity-Space Reasoning for Interactive Simulation of Dynamic Crowd Behaviors.” 2015. Thesis, University of North Carolina. Accessed January 18, 2021. https://cdr.lib.unc.edu/record/uuid:64b49566-57aa-4e6d-86e9-9c408794be4b.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kim, Sujeong. “Velocity-Space Reasoning for Interactive Simulation of Dynamic Crowd Behaviors.” 2015. Web. 18 Jan 2021.

Vancouver:

Kim S. Velocity-Space Reasoning for Interactive Simulation of Dynamic Crowd Behaviors. [Internet] [Thesis]. University of North Carolina; 2015. [cited 2021 Jan 18]. Available from: https://cdr.lib.unc.edu/record/uuid:64b49566-57aa-4e6d-86e9-9c408794be4b.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kim S. Velocity-Space Reasoning for Interactive Simulation of Dynamic Crowd Behaviors. [Thesis]. University of North Carolina; 2015. Available from: https://cdr.lib.unc.edu/record/uuid:64b49566-57aa-4e6d-86e9-9c408794be4b

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

7. Heinly, Jared. Toward Efficient and Robust Large-Scale Structure-from-Motion Systems.

Degree: Computer Science, 2015, University of North Carolina

 The ever-increasing number of images that are uploaded and shared on the Internet has recently been leveraged by computer vision researchers to extract 3D information… (more)

Subjects/Keywords: Computer science; College of Arts and Sciences; Department of Computer Science

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APA (6th Edition):

Heinly, J. (2015). Toward Efficient and Robust Large-Scale Structure-from-Motion Systems. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:49e7a86a-d94e-4d47-b5ae-0d6a015e4725

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Heinly, Jared. “Toward Efficient and Robust Large-Scale Structure-from-Motion Systems.” 2015. Thesis, University of North Carolina. Accessed January 18, 2021. https://cdr.lib.unc.edu/record/uuid:49e7a86a-d94e-4d47-b5ae-0d6a015e4725.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Heinly, Jared. “Toward Efficient and Robust Large-Scale Structure-from-Motion Systems.” 2015. Web. 18 Jan 2021.

Vancouver:

Heinly J. Toward Efficient and Robust Large-Scale Structure-from-Motion Systems. [Internet] [Thesis]. University of North Carolina; 2015. [cited 2021 Jan 18]. Available from: https://cdr.lib.unc.edu/record/uuid:49e7a86a-d94e-4d47-b5ae-0d6a015e4725.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Heinly J. Toward Efficient and Robust Large-Scale Structure-from-Motion Systems. [Thesis]. University of North Carolina; 2015. Available from: https://cdr.lib.unc.edu/record/uuid:49e7a86a-d94e-4d47-b5ae-0d6a015e4725

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

8. Kiapour, Mohammadhadi. LARGE SCALE VISUAL RECOGNITION OF CLOTHING, PEOPLE AND STYLES.

Degree: Computer Science, 2015, University of North Carolina

 Clothing recognition is a societally and commercially important yet extremely challenging problem due to large variations in clothing appearance, layering, style, body shape and pose.… (more)

Subjects/Keywords: Computer science; College of Arts and Sciences; Department of Computer Science

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APA (6th Edition):

Kiapour, M. (2015). LARGE SCALE VISUAL RECOGNITION OF CLOTHING, PEOPLE AND STYLES. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:d5241918-b3f4-4089-86de-f9d957179775

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kiapour, Mohammadhadi. “LARGE SCALE VISUAL RECOGNITION OF CLOTHING, PEOPLE AND STYLES.” 2015. Thesis, University of North Carolina. Accessed January 18, 2021. https://cdr.lib.unc.edu/record/uuid:d5241918-b3f4-4089-86de-f9d957179775.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kiapour, Mohammadhadi. “LARGE SCALE VISUAL RECOGNITION OF CLOTHING, PEOPLE AND STYLES.” 2015. Web. 18 Jan 2021.

Vancouver:

Kiapour M. LARGE SCALE VISUAL RECOGNITION OF CLOTHING, PEOPLE AND STYLES. [Internet] [Thesis]. University of North Carolina; 2015. [cited 2021 Jan 18]. Available from: https://cdr.lib.unc.edu/record/uuid:d5241918-b3f4-4089-86de-f9d957179775.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kiapour M. LARGE SCALE VISUAL RECOGNITION OF CLOTHING, PEOPLE AND STYLES. [Thesis]. University of North Carolina; 2015. Available from: https://cdr.lib.unc.edu/record/uuid:d5241918-b3f4-4089-86de-f9d957179775

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

9. Liu, Wei. Localizing Objects Fast and Accurately.

Degree: Computer Science, 2016, University of North Carolina

 A fundamental problem in computer vision is knowing what is in the image and where it is. We develop models to localize objects of multiple… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Computer Science

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

APA (6th Edition):

Liu, W. (2016). Localizing Objects Fast and Accurately. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:46218f57-e071-4cf8-9f51-0065bede73f9

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liu, Wei. “Localizing Objects Fast and Accurately.” 2016. Thesis, University of North Carolina. Accessed January 18, 2021. https://cdr.lib.unc.edu/record/uuid:46218f57-e071-4cf8-9f51-0065bede73f9.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liu, Wei. “Localizing Objects Fast and Accurately.” 2016. Web. 18 Jan 2021.

Vancouver:

Liu W. Localizing Objects Fast and Accurately. [Internet] [Thesis]. University of North Carolina; 2016. [cited 2021 Jan 18]. Available from: https://cdr.lib.unc.edu/record/uuid:46218f57-e071-4cf8-9f51-0065bede73f9.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu W. Localizing Objects Fast and Accurately. [Thesis]. University of North Carolina; 2016. Available from: https://cdr.lib.unc.edu/record/uuid:46218f57-e071-4cf8-9f51-0065bede73f9

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

10. Ji, Dinghuang. Data-driven 3D Reconstruction and View Synthesis of Dynamic Scene Elements.

Degree: Computer Science, 2018, University of North Carolina

 Our world is filled with living beings and other dynamic elements. It is important to record dynamic things and events for the sake of education,… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Computer Science

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APA (6th Edition):

Ji, D. (2018). Data-driven 3D Reconstruction and View Synthesis of Dynamic Scene Elements. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:eaeceb64-ad74-416d-a0b6-b4ee48512f8d

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ji, Dinghuang. “Data-driven 3D Reconstruction and View Synthesis of Dynamic Scene Elements.” 2018. Thesis, University of North Carolina. Accessed January 18, 2021. https://cdr.lib.unc.edu/record/uuid:eaeceb64-ad74-416d-a0b6-b4ee48512f8d.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ji, Dinghuang. “Data-driven 3D Reconstruction and View Synthesis of Dynamic Scene Elements.” 2018. Web. 18 Jan 2021.

Vancouver:

Ji D. Data-driven 3D Reconstruction and View Synthesis of Dynamic Scene Elements. [Internet] [Thesis]. University of North Carolina; 2018. [cited 2021 Jan 18]. Available from: https://cdr.lib.unc.edu/record/uuid:eaeceb64-ad74-416d-a0b6-b4ee48512f8d.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ji D. Data-driven 3D Reconstruction and View Synthesis of Dynamic Scene Elements. [Thesis]. University of North Carolina; 2018. Available from: https://cdr.lib.unc.edu/record/uuid:eaeceb64-ad74-416d-a0b6-b4ee48512f8d

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

11. Kim, Hyo Jin. Learning Adaptive Representations for Image Retrieval and Recognition.

Degree: Computer Science, 2018, University of North Carolina

 Content-based image retrieval is a core problem in computer vision. It has a wide range of application such as object and place recognition, digital library… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Computer Science

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APA (6th Edition):

Kim, H. J. (2018). Learning Adaptive Representations for Image Retrieval and Recognition. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:fe578de7-bc9f-461b-815a-83dcfd923878

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kim, Hyo Jin. “Learning Adaptive Representations for Image Retrieval and Recognition.” 2018. Thesis, University of North Carolina. Accessed January 18, 2021. https://cdr.lib.unc.edu/record/uuid:fe578de7-bc9f-461b-815a-83dcfd923878.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kim, Hyo Jin. “Learning Adaptive Representations for Image Retrieval and Recognition.” 2018. Web. 18 Jan 2021.

Vancouver:

Kim HJ. Learning Adaptive Representations for Image Retrieval and Recognition. [Internet] [Thesis]. University of North Carolina; 2018. [cited 2021 Jan 18]. Available from: https://cdr.lib.unc.edu/record/uuid:fe578de7-bc9f-461b-815a-83dcfd923878.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kim HJ. Learning Adaptive Representations for Image Retrieval and Recognition. [Thesis]. University of North Carolina; 2018. Available from: https://cdr.lib.unc.edu/record/uuid:fe578de7-bc9f-461b-815a-83dcfd923878

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

12. Zheng, Enliang. TOWARD 3D RECONSTRUCTION OF STATIC AND DYNAMIC OBJECTS.

Degree: Computer Science, 2016, University of North Carolina

 The goal of image-based 3D reconstruction is to construct a spatial understanding of the world from a collection of images. For applications that seek to… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Computer Science

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APA (6th Edition):

Zheng, E. (2016). TOWARD 3D RECONSTRUCTION OF STATIC AND DYNAMIC OBJECTS. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:adaabbef-0021-4d4b-87b3-4b6f9985d97d

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zheng, Enliang. “TOWARD 3D RECONSTRUCTION OF STATIC AND DYNAMIC OBJECTS.” 2016. Thesis, University of North Carolina. Accessed January 18, 2021. https://cdr.lib.unc.edu/record/uuid:adaabbef-0021-4d4b-87b3-4b6f9985d97d.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zheng, Enliang. “TOWARD 3D RECONSTRUCTION OF STATIC AND DYNAMIC OBJECTS.” 2016. Web. 18 Jan 2021.

Vancouver:

Zheng E. TOWARD 3D RECONSTRUCTION OF STATIC AND DYNAMIC OBJECTS. [Internet] [Thesis]. University of North Carolina; 2016. [cited 2021 Jan 18]. Available from: https://cdr.lib.unc.edu/record/uuid:adaabbef-0021-4d4b-87b3-4b6f9985d97d.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zheng E. TOWARD 3D RECONSTRUCTION OF STATIC AND DYNAMIC OBJECTS. [Thesis]. University of North Carolina; 2016. Available from: https://cdr.lib.unc.edu/record/uuid:adaabbef-0021-4d4b-87b3-4b6f9985d97d

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

13. Xu, Yi. Toward Robust Video Event Detection and Retrieval Under Adversarial Constraints.

Degree: Computer Science, 2016, University of North Carolina

 The continuous stream of videos that are uploaded and shared on the Internet has been leveraged by computer vision researchers for a myriad of detection… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Computer Science

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

APA (6th Edition):

Xu, Y. (2016). Toward Robust Video Event Detection and Retrieval Under Adversarial Constraints. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:926a5d94-944d-4c61-963f-b863b0dc1f41

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Xu, Yi. “Toward Robust Video Event Detection and Retrieval Under Adversarial Constraints.” 2016. Thesis, University of North Carolina. Accessed January 18, 2021. https://cdr.lib.unc.edu/record/uuid:926a5d94-944d-4c61-963f-b863b0dc1f41.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Xu, Yi. “Toward Robust Video Event Detection and Retrieval Under Adversarial Constraints.” 2016. Web. 18 Jan 2021.

Vancouver:

Xu Y. Toward Robust Video Event Detection and Retrieval Under Adversarial Constraints. [Internet] [Thesis]. University of North Carolina; 2016. [cited 2021 Jan 18]. Available from: https://cdr.lib.unc.edu/record/uuid:926a5d94-944d-4c61-963f-b863b0dc1f41.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xu Y. Toward Robust Video Event Detection and Retrieval Under Adversarial Constraints. [Thesis]. University of North Carolina; 2016. Available from: https://cdr.lib.unc.edu/record/uuid:926a5d94-944d-4c61-963f-b863b0dc1f41

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

14. Park, Chonhyon. High-DOF Motion Planning in Dynamic Environments using Trajectory Optimization.

Degree: Computer Science, 2016, University of North Carolina

 Motion planning is an important problem in robotics, computer-aided design, and simulated environments. Recently, robots with a high number of controllable joints are increasingly used… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Computer Science

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

APA (6th Edition):

Park, C. (2016). High-DOF Motion Planning in Dynamic Environments using Trajectory Optimization. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:e8c00599-184e-4a90-afb3-802044542a15

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Park, Chonhyon. “High-DOF Motion Planning in Dynamic Environments using Trajectory Optimization.” 2016. Thesis, University of North Carolina. Accessed January 18, 2021. https://cdr.lib.unc.edu/record/uuid:e8c00599-184e-4a90-afb3-802044542a15.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Park, Chonhyon. “High-DOF Motion Planning in Dynamic Environments using Trajectory Optimization.” 2016. Web. 18 Jan 2021.

Vancouver:

Park C. High-DOF Motion Planning in Dynamic Environments using Trajectory Optimization. [Internet] [Thesis]. University of North Carolina; 2016. [cited 2021 Jan 18]. Available from: https://cdr.lib.unc.edu/record/uuid:e8c00599-184e-4a90-afb3-802044542a15.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Park C. High-DOF Motion Planning in Dynamic Environments using Trajectory Optimization. [Thesis]. University of North Carolina; 2016. Available from: https://cdr.lib.unc.edu/record/uuid:e8c00599-184e-4a90-afb3-802044542a15

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

15. Vittayakorn, Sirion. Visual attribute discovery and analyses from Web data.

Degree: Computer Science, 2016, University of North Carolina

 Visual attributes are important for describing and understanding an object’s appearance. For an object classification or recognition task, an algorithm needs to infer the visual… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Computer Science

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

APA (6th Edition):

Vittayakorn, S. (2016). Visual attribute discovery and analyses from Web data. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:e99f13f0-8689-49cc-a15d-3269cb0e4732

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vittayakorn, Sirion. “Visual attribute discovery and analyses from Web data.” 2016. Thesis, University of North Carolina. Accessed January 18, 2021. https://cdr.lib.unc.edu/record/uuid:e99f13f0-8689-49cc-a15d-3269cb0e4732.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vittayakorn, Sirion. “Visual attribute discovery and analyses from Web data.” 2016. Web. 18 Jan 2021.

Vancouver:

Vittayakorn S. Visual attribute discovery and analyses from Web data. [Internet] [Thesis]. University of North Carolina; 2016. [cited 2021 Jan 18]. Available from: https://cdr.lib.unc.edu/record/uuid:e99f13f0-8689-49cc-a15d-3269cb0e4732.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vittayakorn S. Visual attribute discovery and analyses from Web data. [Thesis]. University of North Carolina; 2016. Available from: https://cdr.lib.unc.edu/record/uuid:e99f13f0-8689-49cc-a15d-3269cb0e4732

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Carolina

16. Wang, Ke. Towards Efficient 3D Reconstructions from High-Resolution Satellite Imagery.

Degree: Computer Science, 2018, University of North Carolina

 Recent years have witnessed the rapid growth of commercial satellite imagery. Compared with other imaging products, such as aerial or streetview imagery, modern satellite images… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Computer Science

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

APA (6th Edition):

Wang, K. (2018). Towards Efficient 3D Reconstructions from High-Resolution Satellite Imagery. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:a342d2a8-51a5-44c4-b4b5-8d9a1ac68700

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Ke. “Towards Efficient 3D Reconstructions from High-Resolution Satellite Imagery.” 2018. Thesis, University of North Carolina. Accessed January 18, 2021. https://cdr.lib.unc.edu/record/uuid:a342d2a8-51a5-44c4-b4b5-8d9a1ac68700.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Ke. “Towards Efficient 3D Reconstructions from High-Resolution Satellite Imagery.” 2018. Web. 18 Jan 2021.

Vancouver:

Wang K. Towards Efficient 3D Reconstructions from High-Resolution Satellite Imagery. [Internet] [Thesis]. University of North Carolina; 2018. [cited 2021 Jan 18]. Available from: https://cdr.lib.unc.edu/record/uuid:a342d2a8-51a5-44c4-b4b5-8d9a1ac68700.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang K. Towards Efficient 3D Reconstructions from High-Resolution Satellite Imagery. [Thesis]. University of North Carolina; 2018. Available from: https://cdr.lib.unc.edu/record/uuid:a342d2a8-51a5-44c4-b4b5-8d9a1ac68700

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.