Stochastic implementation of the disparity energy model for depth perception

Kaushik Boga, Naoya Onizawa, François Leduc-Primeau, Kazumichi Matsumiya, Takahiro Hanyu, Warren J. Gross

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

We implement a binocular vision system based on a disparity-energy model that emulates the hierarchical multi-layered neural structure in the primary visual cortex. Layer 1 performs difference-of-Gaussian filtering that mimicks the center-surround receptive fields (RF) in the retina, layer 2 performs Gabor filtering mimicking the orientation selective filtering performed by simple cells and layer 3 has complex cells tuned to detecting 5 different disparities. A VLSI architecture is developed based on stochastic computing that is compact and adder-free. Even with a short stream length, the proposed architecture achieves better disparity detection than a floating-point version by using a modified disparity-energy model. A 1 × 100 pixel processing system is synthesized using TSMC 65nm CMOS technology and achieves up to 79% reduction in area-delay product compared to a fixed point implementation.

本文言語English
ホスト出版物のタイトルElectronic Proceedings of the 2015 IEEE International Workshop on Signal Processing Systems, SiPS 2015
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781467396042
DOI
出版ステータスPublished - 2015 12 2
イベントIEEE International Workshop on Signal Processing Systems, SiPS 2015 - Hangzhou, China
継続期間: 2015 10 142015 10 16

出版物シリーズ

名前IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation
2015-December
ISSN(印刷版)1520-6130

Other

OtherIEEE International Workshop on Signal Processing Systems, SiPS 2015
国/地域China
CityHangzhou
Period15/10/1415/10/16

ASJC Scopus subject areas

  • 電子工学および電気工学
  • 信号処理
  • 応用数学
  • ハードウェアとアーキテクチャ

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