Motion and shape recovery from image frame sequences
The thesis focuses mainly on motion and structure recovery of an object from a sequence of image frames. The author's approach is different from the eight-point algorithm or other conventional non-linear optimization techniques. Full perspective projection is assumed in all the work. However it...
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| Format: | Thesis |
| Language: | English |
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2008
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| Online Access: | http://hdl.handle.net/10356/13201 |
| _version_ | 1824455815515340800 |
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| author | Sung, Eric. |
| author2 | Tan, Daniel |
| author_facet | Tan, Daniel Sung, Eric. |
| author_sort | Sung, Eric. |
| collection | NTU |
| description | The thesis focuses mainly on motion and structure recovery of an object from a sequence of image frames. The author's approach is different from the eight-point algorithm or other conventional non-linear optimization techniques. Full perspective projection is assumed in all the work. However it is shown that the methodologies proposed do encompass the weak perspective/orthographic projection model as well. Much of the thesis concentrates on finding what the minimum number of data points are needed for a unique solution under different number of frames and constraints. |
| first_indexed | 2025-02-19T03:44:12Z |
| format | Thesis |
| id | ntu-10356/13201 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:44:12Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/132012023-07-04T15:11:14Z Motion and shape recovery from image frame sequences Sung, Eric. Tan, Daniel School of Electrical and Electronic Engineering Singh, Harcharan DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision The thesis focuses mainly on motion and structure recovery of an object from a sequence of image frames. The author's approach is different from the eight-point algorithm or other conventional non-linear optimization techniques. Full perspective projection is assumed in all the work. However it is shown that the methodologies proposed do encompass the weak perspective/orthographic projection model as well. Much of the thesis concentrates on finding what the minimum number of data points are needed for a unique solution under different number of frames and constraints. Doctor of Philosophy (EEE) 2008-08-27T09:12:56Z 2008-10-20T07:18:44Z 2008-08-27T09:12:56Z 2008-10-20T07:18:44Z 1998 1998 Thesis http://hdl.handle.net/10356/13201 en 345 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Sung, Eric. Motion and shape recovery from image frame sequences |
| title | Motion and shape recovery from image frame sequences |
| title_full | Motion and shape recovery from image frame sequences |
| title_fullStr | Motion and shape recovery from image frame sequences |
| title_full_unstemmed | Motion and shape recovery from image frame sequences |
| title_short | Motion and shape recovery from image frame sequences |
| title_sort | motion and shape recovery from image frame sequences |
| topic | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision |
| url | http://hdl.handle.net/10356/13201 |
| work_keys_str_mv | AT sungeric motionandshaperecoveryfromimageframesequences |