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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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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2008
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| Online Access: | http://hdl.handle.net/10356/13217 |
| _version_ | 1826119820352946176 |
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| author | Zheng, Zhiqiang. |
| author2 | Wang, Han |
| author_facet | Wang, Han Zheng, Zhiqiang. |
| author_sort | Zheng, Zhiqiang. |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T05:06:22Z |
| format | Thesis |
| id | ntu-10356/13217 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:06:22Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-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 |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Zheng, Zhiqiang. Analysis of gray-level corner detection |
| title | 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_short | Analysis of gray-level corner detection |
| title_sort | analysis of gray level corner detection |
| topic | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision |
| url | http://hdl.handle.net/10356/13217 |
| work_keys_str_mv | AT zhengzhiqiang analysisofgraylevelcornerdetection |