Presentation 2007-11-18
Binocular Robot Vision System that Emulates Neural Mechanism of Sterescopic Vision
Kazuhiro SHIMONOMURA, Tetsuya YAGI,
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Abstract(in English) We describe a binocular robot vision system for emulating computational models of streoscopic vision in brain. The system comprises two silicon retinas and field programmable gate array (FPGA) circuits. The silicon retina executes a Laplacian-Gaussian-like and Gabor-like spatial filtering for input images in real-time. The FPGA circuits compute models of stereoscopic vision employing a dedicated digital circuit and software which operates on a CPU core in the FPGA. We configured a model of vergence eye movement, which is an extention of a disparity energy model, using the robot vision system.
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Keyword(in English) Stereoscopic vision / robot vision / silicon retina / FPGA / vergence eye movement
Paper # NC2007-57
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Committee NC
Conference Date 2007/11/11(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Binocular Robot Vision System that Emulates Neural Mechanism of Sterescopic Vision
Sub Title (in English)
Keyword(1) Stereoscopic vision
Keyword(2) robot vision
Keyword(3) silicon retina
Keyword(4) FPGA
Keyword(5) vergence eye movement
1st Author's Name Kazuhiro SHIMONOMURA
1st Author's Affiliation The Center for Advanced Medical Engineering and Informatics, Osaka University()
2nd Author's Name Tetsuya YAGI
2nd Author's Affiliation Derartment of Electrical, Erectronic and Information Engineering, Osaka University
Date 2007-11-18
Paper # NC2007-57
Volume (vol) vol.107
Number (no) 328
Page pp.pp.-
#Pages 6
Date of Issue