Presentation | 2001/2/16 Corner Detection Based on Blockwise Self-Similarity of Images Nobuyuki Matsumoto, Takashi Ida, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose a novel method for corner detection based on image self-similarity. In our proposed method, first, blockwise self-similarity of image is extracted in the same way as for fractal coding of gray-scale images. A corner point is detected by using the property that a fixed point of this self-affine mapping based on blockwise self-similarity is conformed to a corner point of an object contour. In order to demonstrate the efficiency of the proposed method, we applied it to snakes and utilized it to move control points of snakes. It was confirmed that the proposed method detects correct corners from real images. Also, it was confirmed that, using the proposed method, snakes extract object contours which have concavity and convexity and which are difficult to extract by conventional snakes. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | corner detection / object extraction / fractal / self-similarity / snakes |
Paper # | PRMU2000-199 |
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Conference Information | |
Committee | PRMU |
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Conference Date | 2001/2/16(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Corner Detection Based on Blockwise Self-Similarity of Images |
Sub Title (in English) | |
Keyword(1) | corner detection |
Keyword(2) | object extraction |
Keyword(3) | fractal |
Keyword(4) | self-similarity |
Keyword(5) | snakes |
1st Author's Name | Nobuyuki Matsumoto |
1st Author's Affiliation | Corporate Research & Development Center, Toshiba Corporation() |
2nd Author's Name | Takashi Ida |
2nd Author's Affiliation | Corporate Research & Development Center, Toshiba Corporation |
Date | 2001/2/16 |
Paper # | PRMU2000-199 |
Volume (vol) | vol.100 |
Number (no) | 634 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |