Statistically unbiased methods in motion estimation and image mosaicing

The purpose of the study is to study the existing structure from motion algorithms and propose statistically unbiased methods which can improve the performance in the presence of noise, and to find a motion estimation algorithm that has comparable performance and does not require additional computat...

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Bibliographic Details
Main Author:	Song, Weilin.
Other Authors:	Wang, Han
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:	http://hdl.handle.net/10356/3276
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-3276
record_format	dspace
spelling	sg-ntu-dr.10356-32762023-07-04T15:10:32Z Statistically unbiased methods in motion estimation and image mosaicing Song, Weilin. Wang, Han School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing The purpose of the study is to study the existing structure from motion algorithms and propose statistically unbiased methods which can improve the performance in the presence of noise, and to find a motion estimation algorithm that has comparable performance and does not require additional computation. Master of Engineering 2008-09-17T09:26:13Z 2008-09-17T09:26:13Z 2001 2001 Thesis http://hdl.handle.net/10356/3276 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Song, Weilin. Statistically unbiased methods in motion estimation and image mosaicing
description	The purpose of the study is to study the existing structure from motion algorithms and propose statistically unbiased methods which can improve the performance in the presence of noise, and to find a motion estimation algorithm that has comparable performance and does not require additional computation.
author2	Wang, Han
author_facet	Wang, Han Song, Weilin.
format	Theses and Dissertations
author	Song, Weilin.
author_sort	Song, Weilin.
title	Statistically unbiased methods in motion estimation and image mosaicing
title_short	Statistically unbiased methods in motion estimation and image mosaicing
title_full	Statistically unbiased methods in motion estimation and image mosaicing
title_fullStr	Statistically unbiased methods in motion estimation and image mosaicing
title_full_unstemmed	Statistically unbiased methods in motion estimation and image mosaicing
title_sort	statistically unbiased methods in motion estimation and image mosaicing
publishDate	2008
url	http://hdl.handle.net/10356/3276
_version_	1772828730583941120

Statistically unbiased methods in motion estimation and image mosaicing

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