Binocular Stereo Vision Processing based on Pulse Coupled Neural Networks

Yuuki Ogawa; Daisuke Yamaoka; Hitoshi Yamada; Kosei Ishimura; Mitsuo Wada

doi:10.11499/sicep.2004.0_16_5

SICE Annual Conference 2004

DOI https://doi.org/10.11499/sicep.2004.0_16_5

Conference information

Host: The Society of Instrument and Control Engineers

Co-host: The IEEE Industrial Electronics Society, The IEEE Robotics and Automation Society, The IEEE Control Systems Society, The IEEE Systems, Man and Cybernetics Society, The Instrumentation, Systems, and Automation Society

Binocular Stereo Vision Processing based on Pulse Coupled Neural Networks

Yuuki Ogawa, *Daisuke Yamaoka, Hitoshi Yamada, Kosei Ishimura, Mitsuo Wada

Author information

Keywords: Visual processing, Disparity Detection, Pulse-Coupled Neural Network

CONFERENCE PROCEEDINGS FREE ACCESS

Pages 16

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Abstract

A biological binocular stereo vision processing was modeled based on Pulse-Coupled Neural Network(PCNN). Then disparity detection can be accomplished in the spontaneous synchronization of neurons corresponding to the correct matching points. Consequently, it is clarified that binocular stereo vision is generated through proposed model. Furthermore, our model is appropriate model based on actual visual processing of biology.

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