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You searched for +publisher:"The Ohio State University" +contributor:("Yilmaz, Alper"). Showing records 1 – 26 of 26 total matches.

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The Ohio State University

1. Kim, Rhae Sung. Spectral Matching using Bitmap Indices of Spectral Derivatives for the Analysis of Hyperspectral Imagery.

Degree: MS, Geodetic Science and Surveying, 2011, The Ohio State University

 Hyperspectral imaging data, such as that recorded by AVIRIS, provides rich information on ground cover materials but seriously complicates their use for classification due to… (more)

Subjects/Keywords: Remote Sensing

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APA (6th Edition):

Kim, R. S. (2011). Spectral Matching using Bitmap Indices of Spectral Derivatives for the Analysis of Hyperspectral Imagery. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1293667753

Chicago Manual of Style (16th Edition):

Kim, Rhae Sung. “Spectral Matching using Bitmap Indices of Spectral Derivatives for the Analysis of Hyperspectral Imagery.” 2011. Masters Thesis, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1293667753.

MLA Handbook (7th Edition):

Kim, Rhae Sung. “Spectral Matching using Bitmap Indices of Spectral Derivatives for the Analysis of Hyperspectral Imagery.” 2011. Web. 19 Jan 2021.

Vancouver:

Kim RS. Spectral Matching using Bitmap Indices of Spectral Derivatives for the Analysis of Hyperspectral Imagery. [Internet] [Masters thesis]. The Ohio State University; 2011. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1293667753.

Council of Science Editors:

Kim RS. Spectral Matching using Bitmap Indices of Spectral Derivatives for the Analysis of Hyperspectral Imagery. [Masters Thesis]. The Ohio State University; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1293667753


The Ohio State University

2. Park, Kyoung Jin. Generating Thematic Maps from Hyperspectral Imagery Using a Bag-of-Materials Model.

Degree: PhD, Geodetic Science and Surveying, 2013, The Ohio State University

 Obtaining information about Earth’s surfaces and generating a land cover map is essential to remote sensing research. For that purpose, identifying and classifying the characteristics… (more)

Subjects/Keywords: Remote Sensing; Computer Engineering; Computer Science; Geographic Information Science; Hyperspectral image clustering; probabilistic topic modeling; generative model; latent dirichlet allocation

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APA (6th Edition):

Park, K. J. (2013). Generating Thematic Maps from Hyperspectral Imagery Using a Bag-of-Materials Model. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1366296426

Chicago Manual of Style (16th Edition):

Park, Kyoung Jin. “Generating Thematic Maps from Hyperspectral Imagery Using a Bag-of-Materials Model.” 2013. Doctoral Dissertation, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1366296426.

MLA Handbook (7th Edition):

Park, Kyoung Jin. “Generating Thematic Maps from Hyperspectral Imagery Using a Bag-of-Materials Model.” 2013. Web. 19 Jan 2021.

Vancouver:

Park KJ. Generating Thematic Maps from Hyperspectral Imagery Using a Bag-of-Materials Model. [Internet] [Doctoral dissertation]. The Ohio State University; 2013. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1366296426.

Council of Science Editors:

Park KJ. Generating Thematic Maps from Hyperspectral Imagery Using a Bag-of-Materials Model. [Doctoral Dissertation]. The Ohio State University; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1366296426


The Ohio State University

3. Zhang, Yujia. A Structured Light Based 3D Reconstruction Using Combined Circular Phase Shifting Patterns.

Degree: PhD, Geodetic Science, 2019, The Ohio State University

 Coded structured light is one of the most effective and reliable techniques for surface reconstruction. With a calibrated projector-camera stereo system, a set of illuminating… (more)

Subjects/Keywords: Civil Engineering; Earth; Geography; Optics; Structured Light, 3D Reconstruction, Circular Phase Shifting, Projector-Camera Stereo System

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APA (6th Edition):

Zhang, Y. (2019). A Structured Light Based 3D Reconstruction Using Combined Circular Phase Shifting Patterns. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1546488253821736

Chicago Manual of Style (16th Edition):

Zhang, Yujia. “A Structured Light Based 3D Reconstruction Using Combined Circular Phase Shifting Patterns.” 2019. Doctoral Dissertation, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1546488253821736.

MLA Handbook (7th Edition):

Zhang, Yujia. “A Structured Light Based 3D Reconstruction Using Combined Circular Phase Shifting Patterns.” 2019. Web. 19 Jan 2021.

Vancouver:

Zhang Y. A Structured Light Based 3D Reconstruction Using Combined Circular Phase Shifting Patterns. [Internet] [Doctoral dissertation]. The Ohio State University; 2019. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1546488253821736.

Council of Science Editors:

Zhang Y. A Structured Light Based 3D Reconstruction Using Combined Circular Phase Shifting Patterns. [Doctoral Dissertation]. The Ohio State University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1546488253821736


The Ohio State University

4. Khare, Vinod. Precise Image Registration and Occlusion Detection.

Degree: MS, Civil Engineering, 2011, The Ohio State University

  Image registration and mosaicking is a fundamental problem in computer vision. The large number of approaches developed to achieve this end can be largely… (more)

Subjects/Keywords: Image Registration; Occlusion Detection; Multi-head Cameras; Bundle Adjustment

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APA (6th Edition):

Khare, V. (2011). Precise Image Registration and Occlusion Detection. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1308246730

Chicago Manual of Style (16th Edition):

Khare, Vinod. “Precise Image Registration and Occlusion Detection.” 2011. Masters Thesis, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1308246730.

MLA Handbook (7th Edition):

Khare, Vinod. “Precise Image Registration and Occlusion Detection.” 2011. Web. 19 Jan 2021.

Vancouver:

Khare V. Precise Image Registration and Occlusion Detection. [Internet] [Masters thesis]. The Ohio State University; 2011. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1308246730.

Council of Science Editors:

Khare V. Precise Image Registration and Occlusion Detection. [Masters Thesis]. The Ohio State University; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1308246730


The Ohio State University

5. Koroglu, Muhammed Taha. Multiple Hypothesis Testing Approach to Pedestrian Inertial Navigation with Non-recursive Bayesian Map-matching.

Degree: PhD, Electrical and Computer Engineering, 2020, The Ohio State University

 Inertial sensors became wearable with the advances in sensing and computing technologies in the last two decades. Captured motion data can be used to build… (more)

Subjects/Keywords: Engineering; Electrical Engineering; pedestrian tracking; MEMS; inertial navigation system; INS; inertial measurement unit; IMU; building information model; BIM; map-matching; multiple hypothesis testing; Kalman Filter; Particle Filter; Bayesian Filtering; pedestrian INS, zero velocity; ZUPT

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APA (6th Edition):

Koroglu, M. T. (2020). Multiple Hypothesis Testing Approach to Pedestrian Inertial Navigation with Non-recursive Bayesian Map-matching. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1577135195323298

Chicago Manual of Style (16th Edition):

Koroglu, Muhammed Taha. “Multiple Hypothesis Testing Approach to Pedestrian Inertial Navigation with Non-recursive Bayesian Map-matching.” 2020. Doctoral Dissertation, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1577135195323298.

MLA Handbook (7th Edition):

Koroglu, Muhammed Taha. “Multiple Hypothesis Testing Approach to Pedestrian Inertial Navigation with Non-recursive Bayesian Map-matching.” 2020. Web. 19 Jan 2021.

Vancouver:

Koroglu MT. Multiple Hypothesis Testing Approach to Pedestrian Inertial Navigation with Non-recursive Bayesian Map-matching. [Internet] [Doctoral dissertation]. The Ohio State University; 2020. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1577135195323298.

Council of Science Editors:

Koroglu MT. Multiple Hypothesis Testing Approach to Pedestrian Inertial Navigation with Non-recursive Bayesian Map-matching. [Doctoral Dissertation]. The Ohio State University; 2020. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1577135195323298


The Ohio State University

6. Al-Shahri, Mohammed. Line Matching in a Wide-Baseline Stereoview.

Degree: PhD, Geodetic Science and Surveying, 2013, The Ohio State University

 Matching is a fundamental problem in photogrammetry and computer vision. Matching primitives such as points and lines is the most common feature. While point-feature matching… (more)

Subjects/Keywords: Engineering; Computer Science; Civil Engineering; line matching; wide-baseline; epipolar geometry; coplanarity; image features; image registration

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APA (6th Edition):

Al-Shahri, M. (2013). Line Matching in a Wide-Baseline Stereoview. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1376951775

Chicago Manual of Style (16th Edition):

Al-Shahri, Mohammed. “Line Matching in a Wide-Baseline Stereoview.” 2013. Doctoral Dissertation, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1376951775.

MLA Handbook (7th Edition):

Al-Shahri, Mohammed. “Line Matching in a Wide-Baseline Stereoview.” 2013. Web. 19 Jan 2021.

Vancouver:

Al-Shahri M. Line Matching in a Wide-Baseline Stereoview. [Internet] [Doctoral dissertation]. The Ohio State University; 2013. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1376951775.

Council of Science Editors:

Al-Shahri M. Line Matching in a Wide-Baseline Stereoview. [Doctoral Dissertation]. The Ohio State University; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1376951775


The Ohio State University

7. Lee, Young Jin. Real-Time Object Motion and 3D Localization from Geometry.

Degree: PhD, Geodetic Science and Surveying, 2014, The Ohio State University

 Knowing the position of an object in real-time has tremendous meaning. The most widely used and well-known positioning system is GPS (Global Positioning System), which… (more)

Subjects/Keywords: Geographic Information Science; 3D positioning; 3D tracking; object detection; multiple cameras; motion from geometry; tracking from geometry; real-time 3D positioning; multiple camera tracking

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APA (6th Edition):

Lee, Y. J. (2014). Real-Time Object Motion and 3D Localization from Geometry. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1408443773

Chicago Manual of Style (16th Edition):

Lee, Young Jin. “Real-Time Object Motion and 3D Localization from Geometry.” 2014. Doctoral Dissertation, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1408443773.

MLA Handbook (7th Edition):

Lee, Young Jin. “Real-Time Object Motion and 3D Localization from Geometry.” 2014. Web. 19 Jan 2021.

Vancouver:

Lee YJ. Real-Time Object Motion and 3D Localization from Geometry. [Internet] [Doctoral dissertation]. The Ohio State University; 2014. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1408443773.

Council of Science Editors:

Lee YJ. Real-Time Object Motion and 3D Localization from Geometry. [Doctoral Dissertation]. The Ohio State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1408443773


The Ohio State University

8. Hosseinyalamdary , Saivash, Hosseinyalamdary. Traffic Scene Perception using Multiple Sensors for Vehicular Safety Purposes.

Degree: PhD, Civil Engineering, 2016, The Ohio State University

 Autonomous driving is an emerging technology, preventing accidents on the road in future. It, however, faces many challenges because of various environmental conditions and limitations… (more)

Subjects/Keywords: Civil Engineering; Multiple sensor integration; moving object tracking; surface reconstruction; super-resolution; traffic light detection; conic section geometry; autonomous vehicle; spatio-temporal consistency constraint; non-holonomic constraint

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APA (6th Edition):

Hosseinyalamdary , Saivash, H. (2016). Traffic Scene Perception using Multiple Sensors for Vehicular Safety Purposes. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1462803166

Chicago Manual of Style (16th Edition):

Hosseinyalamdary , Saivash, Hosseinyalamdary. “Traffic Scene Perception using Multiple Sensors for Vehicular Safety Purposes.” 2016. Doctoral Dissertation, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1462803166.

MLA Handbook (7th Edition):

Hosseinyalamdary , Saivash, Hosseinyalamdary. “Traffic Scene Perception using Multiple Sensors for Vehicular Safety Purposes.” 2016. Web. 19 Jan 2021.

Vancouver:

Hosseinyalamdary , Saivash H. Traffic Scene Perception using Multiple Sensors for Vehicular Safety Purposes. [Internet] [Doctoral dissertation]. The Ohio State University; 2016. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1462803166.

Council of Science Editors:

Hosseinyalamdary , Saivash H. Traffic Scene Perception using Multiple Sensors for Vehicular Safety Purposes. [Doctoral Dissertation]. The Ohio State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1462803166


The Ohio State University

9. Kim, Rhae Sung. Estimating snow depth of alpine snowpack via airborne multifrequency passive microwave radiance observations.

Degree: PhD, Geodetic Science, 2017, The Ohio State University

 Snow cover plays a key role in the climate and water resource systems in mountainous areas; therefore, accurately monitoring snow properties (e.g., snow water equivalent… (more)

Subjects/Keywords: Remote Sensing; Earth; Hydrology; Snow Depth; Alpine Snowpack; Remote Sensing

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APA (6th Edition):

Kim, R. S. (2017). Estimating snow depth of alpine snowpack via airborne multifrequency passive microwave radiance observations. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1503071052341111

Chicago Manual of Style (16th Edition):

Kim, Rhae Sung. “Estimating snow depth of alpine snowpack via airborne multifrequency passive microwave radiance observations.” 2017. Doctoral Dissertation, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1503071052341111.

MLA Handbook (7th Edition):

Kim, Rhae Sung. “Estimating snow depth of alpine snowpack via airborne multifrequency passive microwave radiance observations.” 2017. Web. 19 Jan 2021.

Vancouver:

Kim RS. Estimating snow depth of alpine snowpack via airborne multifrequency passive microwave radiance observations. [Internet] [Doctoral dissertation]. The Ohio State University; 2017. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1503071052341111.

Council of Science Editors:

Kim RS. Estimating snow depth of alpine snowpack via airborne multifrequency passive microwave radiance observations. [Doctoral Dissertation]. The Ohio State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1503071052341111


The Ohio State University

10. Lee, Ji Hyun. Development of a Tool to Assist the Nuclear Power Plant Operator in Declaring a State of Emergency Based on the Use of Dynamic Event Trees and Deep Learning Tools.

Degree: PhD, Nuclear Engineering, 2018, The Ohio State University

 Safety is the utmost important requirement in nuclear power plant operation. An approach to develop a real-time operator support tool (OST) for declaring site emergency… (more)

Subjects/Keywords: Nuclear Engineering; Computer Engineering; PRA, PSA, Dynamic PRA, Dynamic PSA, Machine learning, Deep Learning, Convolutional Neural Network

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APA (6th Edition):

Lee, J. H. (2018). Development of a Tool to Assist the Nuclear Power Plant Operator in Declaring a State of Emergency Based on the Use of Dynamic Event Trees and Deep Learning Tools. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1543069550674204

Chicago Manual of Style (16th Edition):

Lee, Ji Hyun. “Development of a Tool to Assist the Nuclear Power Plant Operator in Declaring a State of Emergency Based on the Use of Dynamic Event Trees and Deep Learning Tools.” 2018. Doctoral Dissertation, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1543069550674204.

MLA Handbook (7th Edition):

Lee, Ji Hyun. “Development of a Tool to Assist the Nuclear Power Plant Operator in Declaring a State of Emergency Based on the Use of Dynamic Event Trees and Deep Learning Tools.” 2018. Web. 19 Jan 2021.

Vancouver:

Lee JH. Development of a Tool to Assist the Nuclear Power Plant Operator in Declaring a State of Emergency Based on the Use of Dynamic Event Trees and Deep Learning Tools. [Internet] [Doctoral dissertation]. The Ohio State University; 2018. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1543069550674204.

Council of Science Editors:

Lee JH. Development of a Tool to Assist the Nuclear Power Plant Operator in Declaring a State of Emergency Based on the Use of Dynamic Event Trees and Deep Learning Tools. [Doctoral Dissertation]. The Ohio State University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1543069550674204

11. Li, Ding. ESA ExoMars Rover PanCam System Geometric Modeling and Evaluation.

Degree: PhD, Geodetic Science and Surveying, 2015, The Ohio State University

 The ESA ExoMars rover, planned to be launched to the Martian surface in 2018, will carry a drill and a suite of instruments dedicated to… (more)

Subjects/Keywords: Geographic Information Science; Robotics; ExoMars; Localization; Error Propagation; Bundle Adjustment; Visual Odometry

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APA (6th Edition):

Li, D. (2015). ESA ExoMars Rover PanCam System Geometric Modeling and Evaluation. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1420788556

Chicago Manual of Style (16th Edition):

Li, Ding. “ESA ExoMars Rover PanCam System Geometric Modeling and Evaluation.” 2015. Doctoral Dissertation, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1420788556.

MLA Handbook (7th Edition):

Li, Ding. “ESA ExoMars Rover PanCam System Geometric Modeling and Evaluation.” 2015. Web. 19 Jan 2021.

Vancouver:

Li D. ESA ExoMars Rover PanCam System Geometric Modeling and Evaluation. [Internet] [Doctoral dissertation]. The Ohio State University; 2015. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1420788556.

Council of Science Editors:

Li D. ESA ExoMars Rover PanCam System Geometric Modeling and Evaluation. [Doctoral Dissertation]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1420788556

12. Sukcharoenpong, Anuchit. Shoreline Mapping with Integrated HSI-DEM using Active Contour Method.

Degree: PhD, Geodetic Science and Surveying, 2014, The Ohio State University

 Shoreline mapping has been a critical task for federal/state agencies and coastal communities. It supports important applications such as nautical charting, coastal zone management, and… (more)

Subjects/Keywords: Geographic Information Science; Remote Sensing; shoreline mapping; hyperspectral imagery; data integration; HSI; DEM

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APA (6th Edition):

Sukcharoenpong, A. (2014). Shoreline Mapping with Integrated HSI-DEM using Active Contour Method. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1406147249

Chicago Manual of Style (16th Edition):

Sukcharoenpong, Anuchit. “Shoreline Mapping with Integrated HSI-DEM using Active Contour Method.” 2014. Doctoral Dissertation, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1406147249.

MLA Handbook (7th Edition):

Sukcharoenpong, Anuchit. “Shoreline Mapping with Integrated HSI-DEM using Active Contour Method.” 2014. Web. 19 Jan 2021.

Vancouver:

Sukcharoenpong A. Shoreline Mapping with Integrated HSI-DEM using Active Contour Method. [Internet] [Doctoral dissertation]. The Ohio State University; 2014. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1406147249.

Council of Science Editors:

Sukcharoenpong A. Shoreline Mapping with Integrated HSI-DEM using Active Contour Method. [Doctoral Dissertation]. The Ohio State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1406147249

13. luo, sai. Semantic Movie Scene Segmentation Using Bag-of-Words Representation.

Degree: MS, Civil Engineering, 2017, The Ohio State University

 Video segmentation is an important procedure in video indexing and archiving. Shot and scene are two levels of video segment. In this thesis, a shot… (more)

Subjects/Keywords: Civil Engineering; Shot detection, Scene segmentation, Bag-of-Words

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APA (6th Edition):

luo, s. (2017). Semantic Movie Scene Segmentation Using Bag-of-Words Representation. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1500375283397255

Chicago Manual of Style (16th Edition):

luo, sai. “Semantic Movie Scene Segmentation Using Bag-of-Words Representation.” 2017. Masters Thesis, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1500375283397255.

MLA Handbook (7th Edition):

luo, sai. “Semantic Movie Scene Segmentation Using Bag-of-Words Representation.” 2017. Web. 19 Jan 2021.

Vancouver:

luo s. Semantic Movie Scene Segmentation Using Bag-of-Words Representation. [Internet] [Masters thesis]. The Ohio State University; 2017. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1500375283397255.

Council of Science Editors:

luo s. Semantic Movie Scene Segmentation Using Bag-of-Words Representation. [Masters Thesis]. The Ohio State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1500375283397255

14. Deshpande, Sagar Shriram. Semi-automated Methods to Create a Hydro-flattened DEM using Single Photon and Linear Mode LiDAR Points.

Degree: PhD, Geodetic Science, 2017, The Ohio State University

 LiDAR pulses are mostly absorbed by water bodies, thereby creating voids. The LiDAR points available over water surfaces are not reliable due to near water… (more)

Subjects/Keywords: Civil Engineering; Geographic Information Science; Single Photon, Linear mode LiDAR, Digital Photogrammetry, Feature extraction, GIS and remote sensing, Hydro-flattening

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APA (6th Edition):

Deshpande, S. S. (2017). Semi-automated Methods to Create a Hydro-flattened DEM using Single Photon and Linear Mode LiDAR Points. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1491300120665946

Chicago Manual of Style (16th Edition):

Deshpande, Sagar Shriram. “Semi-automated Methods to Create a Hydro-flattened DEM using Single Photon and Linear Mode LiDAR Points.” 2017. Doctoral Dissertation, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1491300120665946.

MLA Handbook (7th Edition):

Deshpande, Sagar Shriram. “Semi-automated Methods to Create a Hydro-flattened DEM using Single Photon and Linear Mode LiDAR Points.” 2017. Web. 19 Jan 2021.

Vancouver:

Deshpande SS. Semi-automated Methods to Create a Hydro-flattened DEM using Single Photon and Linear Mode LiDAR Points. [Internet] [Doctoral dissertation]. The Ohio State University; 2017. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1491300120665946.

Council of Science Editors:

Deshpande SS. Semi-automated Methods to Create a Hydro-flattened DEM using Single Photon and Linear Mode LiDAR Points. [Doctoral Dissertation]. The Ohio State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1491300120665946

15. Lai, Yuchen. Augmented Reality Visualization of Building Information Model.

Degree: MS, Civil Engineering, 2017, The Ohio State University

 Building Information Modeling (BIM) is an effective tool which widely used in construction industries. As its result, building information models (BIMs) serve an important role… (more)

Subjects/Keywords: Civil Engineering; Building Information Model; Augmented Reality Visualization

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APA (6th Edition):

Lai, Y. (2017). Augmented Reality Visualization of Building Information Model. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu149263273982056

Chicago Manual of Style (16th Edition):

Lai, Yuchen. “Augmented Reality Visualization of Building Information Model.” 2017. Masters Thesis, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu149263273982056.

MLA Handbook (7th Edition):

Lai, Yuchen. “Augmented Reality Visualization of Building Information Model.” 2017. Web. 19 Jan 2021.

Vancouver:

Lai Y. Augmented Reality Visualization of Building Information Model. [Internet] [Masters thesis]. The Ohio State University; 2017. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu149263273982056.

Council of Science Editors:

Lai Y. Augmented Reality Visualization of Building Information Model. [Masters Thesis]. The Ohio State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu149263273982056

16. xiao, changlin, xiao. Visual Tracking with an Application to Augmented Reality.

Degree: PhD, Civil Engineering, 2017, The Ohio State University

 In simple terms, visual tracking is the process of visually following a given object. This very initial task is one of the fundamental problems in… (more)

Subjects/Keywords: Civil Engineering; computer vision, visual tracking, object appearance model, deep learning, augmented reality, 3D tracking

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APA (6th Edition):

xiao, changlin, x. (2017). Visual Tracking with an Application to Augmented Reality. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1500638355208487

Chicago Manual of Style (16th Edition):

xiao, changlin, xiao. “Visual Tracking with an Application to Augmented Reality.” 2017. Doctoral Dissertation, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1500638355208487.

MLA Handbook (7th Edition):

xiao, changlin, xiao. “Visual Tracking with an Application to Augmented Reality.” 2017. Web. 19 Jan 2021.

Vancouver:

xiao, changlin x. Visual Tracking with an Application to Augmented Reality. [Internet] [Doctoral dissertation]. The Ohio State University; 2017. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1500638355208487.

Council of Science Editors:

xiao, changlin x. Visual Tracking with an Application to Augmented Reality. [Doctoral Dissertation]. The Ohio State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1500638355208487

17. Barsai, Gabor. DATA REGISTRATION WITHOUT EXPLICIT CORRESPONDENCE FOR ADJUSTMENT OF CAMERA ORIENTATION PARAMETER ESTIMATION.

Degree: PhD, Geodetic Science and Surveying, 2011, The Ohio State University

  Creating accurate, current digital maps and 3-D scenes is a high priority in today’s fast changing environment. The nation’s maps are in a constant… (more)

Subjects/Keywords: Civil Engineering; Computer Engineering; Geographic Information Science; automatic registration; 3D reconstruction; lidar; GIS; digital image; point free registration

…great pleasure to be a student at The Ohio State University, USA. I wish to thank all faculty… …M.S.,Geodetic Sciences,The Ohio State University,Columbus, OH, USA June 1997 - Sept 1999… …Geodetic Sciences,The Ohio State University,Columbus, OH, USA Gabor Barsai has worked in the… …a graduate of the Ohio State University with a Master of Science in Mapping/GIS, and is a… …Sciences, The Ohio State University,Columbus, OH, USA G. Barsai, A. Lipscomb, : Business GIS… 

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APA (6th Edition):

Barsai, G. (2011). DATA REGISTRATION WITHOUT EXPLICIT CORRESPONDENCE FOR ADJUSTMENT OF CAMERA ORIENTATION PARAMETER ESTIMATION. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1315855340

Chicago Manual of Style (16th Edition):

Barsai, Gabor. “DATA REGISTRATION WITHOUT EXPLICIT CORRESPONDENCE FOR ADJUSTMENT OF CAMERA ORIENTATION PARAMETER ESTIMATION.” 2011. Doctoral Dissertation, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1315855340.

MLA Handbook (7th Edition):

Barsai, Gabor. “DATA REGISTRATION WITHOUT EXPLICIT CORRESPONDENCE FOR ADJUSTMENT OF CAMERA ORIENTATION PARAMETER ESTIMATION.” 2011. Web. 19 Jan 2021.

Vancouver:

Barsai G. DATA REGISTRATION WITHOUT EXPLICIT CORRESPONDENCE FOR ADJUSTMENT OF CAMERA ORIENTATION PARAMETER ESTIMATION. [Internet] [Doctoral dissertation]. The Ohio State University; 2011. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1315855340.

Council of Science Editors:

Barsai G. DATA REGISTRATION WITHOUT EXPLICIT CORRESPONDENCE FOR ADJUSTMENT OF CAMERA ORIENTATION PARAMETER ESTIMATION. [Doctoral Dissertation]. The Ohio State University; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1315855340

18. Srestasathiern, Panu. Line Based Estimation of Object Space Geometry and Camera Motion.

Degree: PhD, Geodetic Science and Surveying, 2012, The Ohio State University

  In this dissertation, two problems of 3D structure and camera motion recovery are addressed. The first problem is the 3D reconstruction problem using multiple… (more)

Subjects/Keywords: Computer Science; Geographic Information Science; Robotics; photogrammetry; projective geometry; 3D structure and camera motion recovery; line feature

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APA (6th Edition):

Srestasathiern, P. (2012). Line Based Estimation of Object Space Geometry and Camera Motion. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1345401748

Chicago Manual of Style (16th Edition):

Srestasathiern, Panu. “Line Based Estimation of Object Space Geometry and Camera Motion.” 2012. Doctoral Dissertation, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1345401748.

MLA Handbook (7th Edition):

Srestasathiern, Panu. “Line Based Estimation of Object Space Geometry and Camera Motion.” 2012. Web. 19 Jan 2021.

Vancouver:

Srestasathiern P. Line Based Estimation of Object Space Geometry and Camera Motion. [Internet] [Doctoral dissertation]. The Ohio State University; 2012. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1345401748.

Council of Science Editors:

Srestasathiern P. Line Based Estimation of Object Space Geometry and Camera Motion. [Doctoral Dissertation]. The Ohio State University; 2012. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1345401748

19. JIANG, JINWEI. Collaborative Tracking of Image Features Based on Projective Invariance.

Degree: PhD, Geodetic Science and Surveying, 2012, The Ohio State University

  In past manned lunar landing missions, such as Apollo 14, spatial disorientation of astronauts substantially compromised the productivities of astronauts, and caused safety and… (more)

Subjects/Keywords: Computer Engineering; Computer Science; Geographic Information Science; Robotics; features; tracking; appearance similarity; projective geometry; projective invariants

…M.S. Geodetic Science, The Ohio State University 2008-present… …Graduate Research Associate, The Ohio State University. Publications Research Publications J… 

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APA (6th Edition):

JIANG, J. (2012). Collaborative Tracking of Image Features Based on Projective Invariance. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1345562896

Chicago Manual of Style (16th Edition):

JIANG, JINWEI. “Collaborative Tracking of Image Features Based on Projective Invariance.” 2012. Doctoral Dissertation, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1345562896.

MLA Handbook (7th Edition):

JIANG, JINWEI. “Collaborative Tracking of Image Features Based on Projective Invariance.” 2012. Web. 19 Jan 2021.

Vancouver:

JIANG J. Collaborative Tracking of Image Features Based on Projective Invariance. [Internet] [Doctoral dissertation]. The Ohio State University; 2012. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1345562896.

Council of Science Editors:

JIANG J. Collaborative Tracking of Image Features Based on Projective Invariance. [Doctoral Dissertation]. The Ohio State University; 2012. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1345562896

20. Lawver, Jordan D. Robust Feature Tracking in Image Sequences Using View Geometric Constraints.

Degree: MS, Civil Engineering, 2013, The Ohio State University

 In computer vision, interest point tracking across an image sequence is a fundamental technique for determining motion characteristics. Once motion is extracted it can be… (more)

Subjects/Keywords: Civil Engineering; Computer Science; Geographic Information Science

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APA (6th Edition):

Lawver, J. D. (2013). Robust Feature Tracking in Image Sequences Using View Geometric Constraints. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1365611706

Chicago Manual of Style (16th Edition):

Lawver, Jordan D. “Robust Feature Tracking in Image Sequences Using View Geometric Constraints.” 2013. Masters Thesis, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1365611706.

MLA Handbook (7th Edition):

Lawver, Jordan D. “Robust Feature Tracking in Image Sequences Using View Geometric Constraints.” 2013. Web. 19 Jan 2021.

Vancouver:

Lawver JD. Robust Feature Tracking in Image Sequences Using View Geometric Constraints. [Internet] [Masters thesis]. The Ohio State University; 2013. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1365611706.

Council of Science Editors:

Lawver JD. Robust Feature Tracking in Image Sequences Using View Geometric Constraints. [Masters Thesis]. The Ohio State University; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1365611706

21. Mattmuller, Adam. Nuclear Power Plant Maintenance Improvement via Implementation of Wearable Technology.

Degree: MS, Nuclear Engineering, 2016, The Ohio State University

 The recent commercialization of wearable technology presents an opportunity for nuclear power plant maintenance workers to increase their performance by becoming more aware of their… (more)

Subjects/Keywords: Energy; Engineering; Mechanical Engineering; Nuclear Engineering; Radiation; Surgery; google glass; wearable technology; glassware; nuclear power plant maintenance; human reliability; human error

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APA (6th Edition):

Mattmuller, A. (2016). Nuclear Power Plant Maintenance Improvement via Implementation of Wearable Technology. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1461760209

Chicago Manual of Style (16th Edition):

Mattmuller, Adam. “Nuclear Power Plant Maintenance Improvement via Implementation of Wearable Technology.” 2016. Masters Thesis, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1461760209.

MLA Handbook (7th Edition):

Mattmuller, Adam. “Nuclear Power Plant Maintenance Improvement via Implementation of Wearable Technology.” 2016. Web. 19 Jan 2021.

Vancouver:

Mattmuller A. Nuclear Power Plant Maintenance Improvement via Implementation of Wearable Technology. [Internet] [Masters thesis]. The Ohio State University; 2016. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1461760209.

Council of Science Editors:

Mattmuller A. Nuclear Power Plant Maintenance Improvement via Implementation of Wearable Technology. [Masters Thesis]. The Ohio State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1461760209


The Ohio State University

22. Ozendi, Mustafa. Viewpoint Independent Image Classification and Retrieval.

Degree: MS, Geodetic Science and Surveying, 2010, The Ohio State University

 Image retrieval has applications in different disciplines. For example, there are applications in digital painting catalogues and in security related applications Researchers from both computer… (more)

Subjects/Keywords: Computer Science; image retrieval; image classification; projective invariant; viewpoint independent retrieval; viewpoint independent image classification

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APA (6th Edition):

Ozendi, M. (2010). Viewpoint Independent Image Classification and Retrieval. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1285011830

Chicago Manual of Style (16th Edition):

Ozendi, Mustafa. “Viewpoint Independent Image Classification and Retrieval.” 2010. Masters Thesis, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1285011830.

MLA Handbook (7th Edition):

Ozendi, Mustafa. “Viewpoint Independent Image Classification and Retrieval.” 2010. Web. 19 Jan 2021.

Vancouver:

Ozendi M. Viewpoint Independent Image Classification and Retrieval. [Internet] [Masters thesis]. The Ohio State University; 2010. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1285011830.

Council of Science Editors:

Ozendi M. Viewpoint Independent Image Classification and Retrieval. [Masters Thesis]. The Ohio State University; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1285011830


The Ohio State University

23. Lai, Po-Lun. Shape Recovery by Exploiting Planar Topology in 3D Projective Space.

Degree: PhD, Geodetic Science and Surveying, 2010, The Ohio State University

  In the fields of photogrammetry and computer vision, three-dimensional (3D) shape recovery has remained an active research topic over the past decades. Accompanied by… (more)

Subjects/Keywords: Computer Science; Remote Sensing; shape recovery; projective geometry; homography; silhouette

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APA (6th Edition):

Lai, P. (2010). Shape Recovery by Exploiting Planar Topology in 3D Projective Space. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1268187247

Chicago Manual of Style (16th Edition):

Lai, Po-Lun. “Shape Recovery by Exploiting Planar Topology in 3D Projective Space.” 2010. Doctoral Dissertation, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1268187247.

MLA Handbook (7th Edition):

Lai, Po-Lun. “Shape Recovery by Exploiting Planar Topology in 3D Projective Space.” 2010. Web. 19 Jan 2021.

Vancouver:

Lai P. Shape Recovery by Exploiting Planar Topology in 3D Projective Space. [Internet] [Doctoral dissertation]. The Ohio State University; 2010. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1268187247.

Council of Science Editors:

Lai P. Shape Recovery by Exploiting Planar Topology in 3D Projective Space. [Doctoral Dissertation]. The Ohio State University; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1268187247


The Ohio State University

24. Srestasathiern, Panu. View Invariant Planar-Object Recognition.

Degree: MS, Geodetic Science and Surveying, 2008, The Ohio State University

 In many photogrammetry and computer vision applications, there ultimate goals is to recognize objects of interest. Various framework for object recognition problem have been developed.… (more)

Subjects/Keywords: Civil Engineering

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APA (6th Edition):

Srestasathiern, P. (2008). View Invariant Planar-Object Recognition. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1420564069

Chicago Manual of Style (16th Edition):

Srestasathiern, Panu. “View Invariant Planar-Object Recognition.” 2008. Masters Thesis, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1420564069.

MLA Handbook (7th Edition):

Srestasathiern, Panu. “View Invariant Planar-Object Recognition.” 2008. Web. 19 Jan 2021.

Vancouver:

Srestasathiern P. View Invariant Planar-Object Recognition. [Internet] [Masters thesis]. The Ohio State University; 2008. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1420564069.

Council of Science Editors:

Srestasathiern P. View Invariant Planar-Object Recognition. [Masters Thesis]. The Ohio State University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1420564069


The Ohio State University

25. Lee, Won Hee. Bundle block adjustment using 3D natural cubic splines.

Degree: PhD, Geodetic Science and Surveying, 2008, The Ohio State University

  One of the major tasks in digital photogrammetry is to determine the orientation parameters of aerial imageries correctly and quickly, which involves two primary… (more)

Subjects/Keywords: Civil Engineering; bundle block adjustment; feature-based photogrammetry; line photogrammetry; natural cubic splines

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APA (6th Edition):

Lee, W. H. (2008). Bundle block adjustment using 3D natural cubic splines. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1211476222

Chicago Manual of Style (16th Edition):

Lee, Won Hee. “Bundle block adjustment using 3D natural cubic splines.” 2008. Doctoral Dissertation, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1211476222.

MLA Handbook (7th Edition):

Lee, Won Hee. “Bundle block adjustment using 3D natural cubic splines.” 2008. Web. 19 Jan 2021.

Vancouver:

Lee WH. Bundle block adjustment using 3D natural cubic splines. [Internet] [Doctoral dissertation]. The Ohio State University; 2008. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1211476222.

Council of Science Editors:

Lee WH. Bundle block adjustment using 3D natural cubic splines. [Doctoral Dissertation]. The Ohio State University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1211476222


The Ohio State University

26. Ding, Lei. From Pixels to People: Graph Based Methods for Grouping Problems in Computer Vision.

Degree: PhD, Computer Science and Engineering, 2010, The Ohio State University

  In this dissertation, we study grouping problems in computer vision using graph-based machine learning techniques. Grouping problems abound in computer vision and are typically… (more)

Subjects/Keywords: Computer Science; Graph-based Machine Learning; Computer Vision

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APA (6th Edition):

Ding, L. (2010). From Pixels to People: Graph Based Methods for Grouping Problems in Computer Vision. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1289845859

Chicago Manual of Style (16th Edition):

Ding, Lei. “From Pixels to People: Graph Based Methods for Grouping Problems in Computer Vision.” 2010. Doctoral Dissertation, The Ohio State University. Accessed January 19, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1289845859.

MLA Handbook (7th Edition):

Ding, Lei. “From Pixels to People: Graph Based Methods for Grouping Problems in Computer Vision.” 2010. Web. 19 Jan 2021.

Vancouver:

Ding L. From Pixels to People: Graph Based Methods for Grouping Problems in Computer Vision. [Internet] [Doctoral dissertation]. The Ohio State University; 2010. [cited 2021 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1289845859.

Council of Science Editors:

Ding L. From Pixels to People: Graph Based Methods for Grouping Problems in Computer Vision. [Doctoral Dissertation]. The Ohio State University; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1289845859

.