Presentation 2012/1/12
Three-dimensional object recognition based on spherical projection of obtained shapes and textures
Hiroko YABUSHITA, Jun SHIMAMURA, Masashi MORIMOTO,
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Abstract(in English) We propose a technique for recognizing three-dimensional (3D) objects which is based on spherical projection of obtained shapes and textures. This technique needs only a few images for learning although the appearance of 3D objects changes as the viewpoint position changes. The technique recognizes objects by matching spherical-projection images with training images stored in a database. The matching process is vote-based, with the image getting the most votes becoming the recognition result. The technique computes the vote score on the basis of vector distance between feature points, not only for a given feature point but also for feature points in its vicinity.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Three-dimensional object recognition / Learning from few training images / Spherical projection / Image matching
Paper # MVE2011-62,PRMU2011-153
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Committee MVE
Conference Date 2012/1/12(1days)
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Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Three-dimensional object recognition based on spherical projection of obtained shapes and textures
Sub Title (in English)
Keyword(1) Three-dimensional object recognition
Keyword(2) Learning from few training images
Keyword(3) Spherical projection
Keyword(4) Image matching
1st Author's Name Hiroko YABUSHITA
1st Author's Affiliation NTT Cyber Space Laboratories, Nippon Telegraph and Telephone Corporation()
2nd Author's Name Jun SHIMAMURA
2nd Author's Affiliation NTT Cyber Space Laboratories, Nippon Telegraph and Telephone Corporation
3rd Author's Name Masashi MORIMOTO
3rd Author's Affiliation NTT Cyber Space Laboratories, Nippon Telegraph and Telephone Corporation
Date 2012/1/12
Paper # MVE2011-62,PRMU2011-153
Volume (vol) vol.111
Number (no) 380
Page pp.pp.-
#Pages 6
Date of Issue