Presentation | 2007-09-03 A Modified RANSAC Based Method for Extracting Primitive Shapes from Image Yingdi XIE, Jun OHYA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Primitive shapes extraction in image processing, such as line and circle, is of fundamentally importance. In this paper, we propose a modified ransac based shape detection method. Through a repetitive process that randomly selecting points and validity evaluation, feature models could be successfully obtained. In the experimental results, the effectiveness of this method is demonstrated. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | low-level feature detection / modified RANSAC |
Paper # | PRMU2007-59,HIP2007-68 |
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Committee | PRMU |
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Conference Date | 2007/8/27(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Modified RANSAC Based Method for Extracting Primitive Shapes from Image |
Sub Title (in English) | |
Keyword(1) | low-level feature detection |
Keyword(2) | modified RANSAC |
1st Author's Name | Yingdi XIE |
1st Author's Affiliation | Student of GITS, Waseda University() |
2nd Author's Name | Jun OHYA |
2nd Author's Affiliation | Faculty of GITS, Waseda University |
Date | 2007-09-03 |
Paper # | PRMU2007-59,HIP2007-68 |
Volume (vol) | vol.107 |
Number (no) | 206 |
Page | pp.pp.- |
#Pages | 6 |
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