Brain-inspired Binocular Disparity Detection System Using Multiple Spatial Band-passed Images

• KAJIHARA Hiroto

  Osaka Institute of Technology

• OKUNO Hirotsugu

  Osaka Institute of Technology

Bibliographic Information

Other Title

• 複数の空間周波数情報を用いた脳模倣型両眼視差検出システム

Abstract

We designed a binocular vision system that computes binocular disparity in real time based on the computational model of the visual cortex. The system consists of two image sensors, field-programmable gate arrays (FPGAs), and a personal computer (PC). To improve the accuracy, we employed the binocular energy model with multiple spatial band pass filtering and cooperative algorithm. FPGAs were employed to perform spatial filtering efficiently whose computational cost is high for conventional computers. The PC computes the disparity using the images pre-processed by the FPGAs. We examined the performance of our system by placing multiple objects at different depth levels in front of the system. The system provided a disparity map representing appropriate depth levels of the objects.

Journal

• The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)

  The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2018 (0), 2A2-J13-, 2018

  The Japan Society of Mechanical Engineers

Keywords

• Binocular disparity
• Robot vision
• Biomimetic
• Image processing

Details

• CRID: 1390282763079476480
• NII Article ID: 130007551817
• DOI: 10.1299/jsmermd.2018.2a2-j13
• ISSN: 24243124
• Web Site: https://www.jstage.jst.go.jp/article/jsmermd/2018/0/2018_2A2-J13/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed