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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sg-ntu-dr.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 |
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DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Sung, Eric. Motion and shape recovery from image frame sequences |
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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. |
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Tan, Daniel |
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Tan, Daniel Sung, Eric. |
format |
Theses and Dissertations |
author |
Sung, Eric. |
author_sort |
Sung, Eric. |
title |
Motion and shape recovery from image frame sequences |
title_short |
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_sort |
motion and shape recovery from image frame sequences |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/13201 |
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1772828960853327872 |