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...

Full description

Saved in:
Bibliographic Details
Main Author: Sung, Eric.
Other Authors: Tan, Daniel
Format: Theses and Dissertations
Language:English
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/13201
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-13201
record_format dspace
spelling 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
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Sung, Eric.
Motion and shape recovery from image frame sequences
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.
author2 Tan, Daniel
author_facet 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
_version_ 1772828960853327872