Object matching and recognition under semi-affine transformation and occlusion

Object matching and recognition under semi-affine transformation and occlusion

In this thesis, a method is proposed to extract features from an object for matching and recognition under simple transformations and occlusion. The feature proposed comprises of both local and global characteristics. The idea is to combine both features, to make the proposed method less sensitive t...

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Main Author: Thio, Hwee Li.
Other Authors: Teoh, Eam Khwang
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:http://hdl.handle.net/10356/3595
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-3595
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spelling sg-ntu-dr.10356-35952023-07-04T15:50:52Z Object matching and recognition under semi-affine transformation and occlusion Thio, Hwee Li. Teoh, Eam Khwang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing In this thesis, a method is proposed to extract features from an object for matching and recognition under simple transformations and occlusion. The feature proposed comprises of both local and global characteristics. The idea is to combine both features, to make the proposed method less sensitive to noise and occlusion. Master of Engineering 2008-09-17T09:33:09Z 2008-09-17T09:33:09Z 2001 2001 Thesis http://hdl.handle.net/10356/3595 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
Thio, Hwee Li.
Object matching and recognition under semi-affine transformation and occlusion
description In this thesis, a method is proposed to extract features from an object for matching and recognition under simple transformations and occlusion. The feature proposed comprises of both local and global characteristics. The idea is to combine both features, to make the proposed method less sensitive to noise and occlusion.
author2 Teoh, Eam Khwang
author_facet Teoh, Eam Khwang
Thio, Hwee Li.
format Theses and Dissertations
author Thio, Hwee Li.
author_sort Thio, Hwee Li.
title Object matching and recognition under semi-affine transformation and occlusion
title_short Object matching and recognition under semi-affine transformation and occlusion
title_full Object matching and recognition under semi-affine transformation and occlusion
title_fullStr Object matching and recognition under semi-affine transformation and occlusion
title_full_unstemmed Object matching and recognition under semi-affine transformation and occlusion
title_sort object matching and recognition under semi-affine transformation and occlusion
publishDate 2008
url http://hdl.handle.net/10356/3595
_version_ 1772828812527009792

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