Analysis of gray-level corner detection

The gray-level corner can be denned as the point of planar curvature extremes in the line of the steepest gray-level slope of the image [1]. The robust and precise recognition of extreme intensity variation of the gray-level corner is important both for visual human perception [2] and for the automa...

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主要作者: Zheng, Zhiqiang.
其他作者: Wang, Han
格式: Theses and Dissertations
語言:English
出版: 2008
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在線閱讀:http://hdl.handle.net/10356/13217
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spelling sg-ntu-dr.10356-132172023-07-04T15:11:53Z Analysis of gray-level corner detection Zheng, Zhiqiang. Wang, Han School of Electrical and Electronic Engineering Teoh, Eam Khwang DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision The gray-level corner can be denned as the point of planar curvature extremes in the line of the steepest gray-level slope of the image [1]. The robust and precise recognition of extreme intensity variation of the gray-level corner is important both for visual human perception [2] and for the automatic interpretation of image structure from motion [3] and stereo matching [4] by computers. The more robustly and precisely the corner structure is derived from the image, the more reliably can objects in the 3D-scene be described, recognized and reconstructed. Master of Engineering 2008-10-20T07:19:33Z 2008-10-20T07:19:33Z 1999 1999 Thesis http://hdl.handle.net/10356/13217 en 124 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
Zheng, Zhiqiang.
Analysis of gray-level corner detection
description The gray-level corner can be denned as the point of planar curvature extremes in the line of the steepest gray-level slope of the image [1]. The robust and precise recognition of extreme intensity variation of the gray-level corner is important both for visual human perception [2] and for the automatic interpretation of image structure from motion [3] and stereo matching [4] by computers. The more robustly and precisely the corner structure is derived from the image, the more reliably can objects in the 3D-scene be described, recognized and reconstructed.
author2 Wang, Han
author_facet Wang, Han
Zheng, Zhiqiang.
format Theses and Dissertations
author Zheng, Zhiqiang.
author_sort Zheng, Zhiqiang.
title Analysis of gray-level corner detection
title_short Analysis of gray-level corner detection
title_full Analysis of gray-level corner detection
title_fullStr Analysis of gray-level corner detection
title_full_unstemmed Analysis of gray-level corner detection
title_sort analysis of gray-level corner detection
publishDate 2008
url http://hdl.handle.net/10356/13217
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