Abstract:
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...Show MoreMetadata
Abstract:
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.
Published in: 2015 IEEE Workshop on Signal Processing Systems (SiPS)
Date of Conference: 14-16 October 2015
Date Added to IEEE Xplore: 03 December 2015
ISBN Information:
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- IEEE Keywords
- Index Terms
- Stochastic Implementation ,
- Fixed Point ,
- Receptive Field ,
- Primary Visual Cortex ,
- Orientation Selectivity ,
- Simple Cells ,
- Stochastic Approximation ,
- Gabor Filters ,
- Difference Of Gaussian ,
- Stream Length ,
- Positive Response ,
- Exponential Function ,
- Positive Difference ,
- Retinal Cells ,
- Noise Sources ,
- Taylor Series ,
- Low Precision ,
- Power Efficiency ,
- Horizontal Position ,
- Maximum Correlation ,
- Bitstream ,
- Even And Odd ,
- First-order Taylor Approximation ,
- Setup Time ,
- OR Gate ,
- Object Depth ,
- Filtering Stage ,
- Disparate Levels ,
- Positive Axis
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Stochastic Implementation ,
- Fixed Point ,
- Receptive Field ,
- Primary Visual Cortex ,
- Orientation Selectivity ,
- Simple Cells ,
- Stochastic Approximation ,
- Gabor Filters ,
- Difference Of Gaussian ,
- Stream Length ,
- Positive Response ,
- Exponential Function ,
- Positive Difference ,
- Retinal Cells ,
- Noise Sources ,
- Taylor Series ,
- Low Precision ,
- Power Efficiency ,
- Horizontal Position ,
- Maximum Correlation ,
- Bitstream ,
- Even And Odd ,
- First-order Taylor Approximation ,
- Setup Time ,
- OR Gate ,
- Object Depth ,
- Filtering Stage ,
- Disparate Levels ,
- Positive Axis