Recognition of two-dimensional objects using geometric constraints based on a modified genetic algorithm

The aim of the research work is to develop a recognition system for identifying and localising of a two- dimensional object from a scene image acquired using a standard CCD camera. Before proposing an effective matching paradigm, a survey on 2D object recognition systems is conducted to identify...

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Main Author:	Lim, Swee Kim.
Other Authors:	Wong, Kok Cheong
Format:	Theses and Dissertations
Language:	English
Published:	2009
Subjects:	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Online Access:	http://hdl.handle.net/10356/20496
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-20496
record_format	dspace
spelling	sg-ntu-dr.10356-204962020-09-27T20:14:52Z Recognition of two-dimensional objects using geometric constraints based on a modified genetic algorithm Lim, Swee Kim. Wong, Kok Cheong School of Applied Science DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision The aim of the research work is to develop a recognition system for identifying and localising of a two- dimensional object from a scene image acquired using a standard CCD camera. Before proposing an effective matching paradigm, a survey on 2D object recognition systems is conducted to identify their strengths and weaknesses. To accomplish the 2D interpretation problem, a novel matching paradigm based on a modified genetic algorithm (GA) [35] [36] [37] is proposed and implemented for recognising 2D objects subjected to Euclidean transformation, partial occlusion and clusters of irrelevant objects. Master of Applied Science 2009-12-15T03:07:26Z 2009-12-15T03:07:26Z 1996 1996 Thesis http://hdl.handle.net/10356/20496 en NANYANG TECHNOLOGICAL UNIVERSITY 158 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
country	Singapore
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 Lim, Swee Kim. Recognition of two-dimensional objects using geometric constraints based on a modified genetic algorithm
description	The aim of the research work is to develop a recognition system for identifying and localising of a two- dimensional object from a scene image acquired using a standard CCD camera. Before proposing an effective matching paradigm, a survey on 2D object recognition systems is conducted to identify their strengths and weaknesses. To accomplish the 2D interpretation problem, a novel matching paradigm based on a modified genetic algorithm (GA) [35] [36] [37] is proposed and implemented for recognising 2D objects subjected to Euclidean transformation, partial occlusion and clusters of irrelevant objects.
author2	Wong, Kok Cheong
author_facet	Wong, Kok Cheong Lim, Swee Kim.
format	Theses and Dissertations
author	Lim, Swee Kim.
author_sort	Lim, Swee Kim.
title	Recognition of two-dimensional objects using geometric constraints based on a modified genetic algorithm
title_short	Recognition of two-dimensional objects using geometric constraints based on a modified genetic algorithm
title_full	Recognition of two-dimensional objects using geometric constraints based on a modified genetic algorithm
title_fullStr	Recognition of two-dimensional objects using geometric constraints based on a modified genetic algorithm
title_full_unstemmed	Recognition of two-dimensional objects using geometric constraints based on a modified genetic algorithm
title_sort	recognition of two-dimensional objects using geometric constraints based on a modified genetic algorithm
publishDate	2009
url	http://hdl.handle.net/10356/20496
_version_	1681056823735484416

Recognition of two-dimensional objects using geometric constraints based on a modified genetic algorithm

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