Presentation 2000/12/1
Two-D Position Invariant Recognition of Object Orientation and Shape by a Rotation Spreading Associative Neural Network
Kazuya ARIMURA, Tadataka YOSIKAWA, Kiyomi NAKAMURA,
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Abstract(in English) In the brain, parieto-hippocampal spatial recognition(and memory) system work in parallel with the object recognition system. It is well known that neurons in the parietal cortex is related to the recognition of 3-D object shape as well as to the recognition of spatial factors. Paying attention to these findings, we proposed a rotation spreading associative neural network(RSAN net)which spread the spatial information of an object by a spreading neural layer. This neural network has the shape invariant orientation recognition and the orientation invariant shape recognition characteristics of human faces. We examined the recognition characteristics of the RSAN net in two-D space. We then developed a position invariant RSAN net that simultaneously recognized the rotation and shape in two-D space. The position invariant RSAN net was able to recognize the rotation (within the range from -60 to 60°), shape (in all angles) in two-D space.
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Keyword(in English) Position invariant orientation recognition / Position invariant shape recognition / Parietal cortex
Paper # NC2000-76
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Committee NC
Conference Date 2000/12/1(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Two-D Position Invariant Recognition of Object Orientation and Shape by a Rotation Spreading Associative Neural Network
Sub Title (in English)
Keyword(1) Position invariant orientation recognition
Keyword(2) Position invariant shape recognition
Keyword(3) Parietal cortex
1st Author's Name Kazuya ARIMURA
1st Author's Affiliation Graduate School of Engineering Toyama Prefectural University()
2nd Author's Name Tadataka YOSIKAWA
2nd Author's Affiliation Graduate School of Engineering Toyama Prefectural University
3rd Author's Name Kiyomi NAKAMURA
3rd Author's Affiliation Graduate School of Engineering Toyama Prefectural University
Date 2000/12/1
Paper # NC2000-76
Volume (vol) vol.100
Number (no) 490
Page pp.pp.-
#Pages 8
Date of Issue