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 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.
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Keyword(in English) low-level feature detection / modified RANSAC
Paper # PRMU2007-59,HIP2007-68
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Conference Information
Committee PRMU
Conference Date 2007/8/27(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
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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