Abstract:Estimating depth from stereo vision cameras, i.e., "depth from stereo", is critical to emerging intelligent applications deployed in energy-and performance-constrained devices, such as augmented reality headsets and mobile autonomous robots. While existing stereo vision systems make trade-offs between accuracy, performance and energy-efficiency, we describe ASV, an accelerated stereo vision system that simultaneously improves both performance and energy-efficiency while achieving high accuracy.The key to ASV i… Show more
“…EVA 2 [162] exploits temporal redundancy between frames and uses the activation motion compensation technique to approximate the CNN result. ASV [163] applies stereo-specific algorithmic and computational optimizations to increase the performance with a minimum error rate.…”
This article surveys the emerging area of software-defined imaging (SDI) and highlights key works across the hardware and software stack in the literature.
“…EVA 2 [162] exploits temporal redundancy between frames and uses the activation motion compensation technique to approximate the CNN result. ASV [163] applies stereo-specific algorithmic and computational optimizations to increase the performance with a minimum error rate.…”
This article surveys the emerging area of software-defined imaging (SDI) and highlights key works across the hardware and software stack in the literature.
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