Presentation 1993/12/16
Recognition of the Convex Polyhedron from Low Accuracy 2-D Image Data
Masahiro Sotooka, Keisuke Onoda, Makio Miyazaki, Takafumi Fujisawa,
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Abstract(in English) This paper describes the recognition system of a convex polyhedron from 2-D image data.The features of the vertices,that is,crossing points with 2,3,・・・・n lines,and the number of these features are extracted from the image data without labeling each edge and surface,since the images are not clear and the inside edges are often broken in the line.The recognition of the convex polyhedron is performed by the comparison of the number of these extracted features with the database in which the features of many polyhedrons under each view angle are previously stored.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) single view / convex polyhedron / feature extraction / object recognition
Paper # PRU93-100
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Conference Information
Committee PRU
Conference Date 1993/12/16(1days)
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Registration To Pattern Recognition and Understanding (PRU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Recognition of the Convex Polyhedron from Low Accuracy 2-D Image Data
Sub Title (in English)
Keyword(1) single view
Keyword(2) convex polyhedron
Keyword(3) feature extraction
Keyword(4) object recognition
1st Author's Name Masahiro Sotooka
1st Author's Affiliation Department of Electrical Engineering,Faculty of Engineering,Kansai University()
2nd Author's Name Keisuke Onoda
2nd Author's Affiliation Department of Electrical Engineering,Faculty of Engineering,Kansai University
3rd Author's Name Makio Miyazaki
3rd Author's Affiliation Department of Electrical Engineering,Faculty of Engineering,Kansai University
4th Author's Name Takafumi Fujisawa
4th Author's Affiliation Department of Electrical Engineering,Faculty of Engineering,Kansai University
Date 1993/12/16
Paper # PRU93-100
Volume (vol) vol.93
Number (no) 395
Page pp.pp.-
#Pages 8
Date of Issue