Two dimensional object recognition using generalized Hough Transform and genetic algorithm

This thesis focuses on model-based matching which is one of the fundamental components of a general scene interpretation scheme. The model based matching problem is framed within the hypothesis and verification paradigm. Its function is to recognize and to locate instances of a model in a scene base...

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Main Author: Sim, Hak Chuah.
Other Authors: Wong, Kok Cheong
Format: Theses and Dissertations
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/20508
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-20508
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spelling sg-ntu-dr.10356-205082020-09-27T20:14:08Z Two dimensional object recognition using generalized Hough Transform and genetic algorithm Sim, Hak Chuah. Wong, Kok Cheong School of Applied Science DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision This thesis focuses on model-based matching which is one of the fundamental components of a general scene interpretation scheme. The model based matching problem is framed within the hypothesis and verification paradigm. Its function is to recognize and to locate instances of a model in a scene based on matching of extracted scene features to stored model features. The obvious and simple approach to obtain the best match is to evaluate all the possibilities, but the incredibly large problem space will take intolerably long computation time to attain a satisfactory result. Current literature reports a number of solutions based on a variety of assumptions and approaches to solve these problems. Master of Applied Science 2009-12-15T03:09:22Z 2009-12-15T03:09:22Z 1995 1995 Thesis http://hdl.handle.net/10356/20508 en NANYANG TECHNOLOGICAL UNIVERSITY 150 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
Sim, Hak Chuah.
Two dimensional object recognition using generalized Hough Transform and genetic algorithm
description This thesis focuses on model-based matching which is one of the fundamental components of a general scene interpretation scheme. The model based matching problem is framed within the hypothesis and verification paradigm. Its function is to recognize and to locate instances of a model in a scene based on matching of extracted scene features to stored model features. The obvious and simple approach to obtain the best match is to evaluate all the possibilities, but the incredibly large problem space will take intolerably long computation time to attain a satisfactory result. Current literature reports a number of solutions based on a variety of assumptions and approaches to solve these problems.
author2 Wong, Kok Cheong
author_facet Wong, Kok Cheong
Sim, Hak Chuah.
format Theses and Dissertations
author Sim, Hak Chuah.
author_sort Sim, Hak Chuah.
title Two dimensional object recognition using generalized Hough Transform and genetic algorithm
title_short Two dimensional object recognition using generalized Hough Transform and genetic algorithm
title_full Two dimensional object recognition using generalized Hough Transform and genetic algorithm
title_fullStr Two dimensional object recognition using generalized Hough Transform and genetic algorithm
title_full_unstemmed Two dimensional object recognition using generalized Hough Transform and genetic algorithm
title_sort two dimensional object recognition using generalized hough transform and genetic algorithm
publishDate 2009
url http://hdl.handle.net/10356/20508
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