Presentation 1999/11/18
Stereo Vision based on Hierarchical Segmentation
Koji Suzuki, Tomoaki Ohishi, Takashi Akimoto, Masami Iwatsuki,
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Abstract(in English) This paper proposes a new stereo vision method that can reconstruct 3D structures robustly by matching left and right images based on regions given by color segmentation. The proposed method enables correct matching of the regions by segmenting simultaneously stereo images into color regions and matching feature points on the edges of the same color regions. Furthermore, this method can reduce fault correspondences because the difference between segmentation results of right and left images is absorbed by carring out region matching using hierarchical color segmentation whose threshold to merge classes of color is changed step by step in order to obtain appropriate region correspondences independently of a select threshold value.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) stereo vision / color segmentation / 3D reconstruction / occlusion / flatness
Paper # PRMU99-121
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Conference Information
Committee PRMU
Conference Date 1999/11/18(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Stereo Vision based on Hierarchical Segmentation
Sub Title (in English)
Keyword(1) stereo vision
Keyword(2) color segmentation
Keyword(3) 3D reconstruction
Keyword(4) occlusion
Keyword(5) flatness
1st Author's Name Koji Suzuki
1st Author's Affiliation Faculty of Engineering, Hosei University()
2nd Author's Name Tomoaki Ohishi
2nd Author's Affiliation Faculty of Engineering, Hosei University
3rd Author's Name Takashi Akimoto
3rd Author's Affiliation Faculty of Engineering, Hosei University
4th Author's Name Masami Iwatsuki
4th Author's Affiliation Faculty of Engineering, Hosei University
Date 1999/11/18
Paper # PRMU99-121
Volume (vol) vol.99
Number (no) 448
Page pp.pp.-
#Pages 6
Date of Issue