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We demonstrate a video-rate stereo matching system implemented on a hybrid CPU+field-programmable gate array (FPGA) platform (Convey HC-1). Stereo matching is a fundamental problem of computer vision, and emerging applications, such as 3-D gesture recognition and automotive navigation, demand fast and high-quality stereo matching. Markov random field (MRF)-based approaches are widely used, but conventional...
In this paper, we present our hardware accelerator for inference computations on Markov Random Fields (MRFs), which wins the “adjusted run time” category of MEMOCODE 2013 design contest. The contest problem is to accelerate the popular Belief Propagation (BP) algorithm for MRF stereo matching, but BP often suffers from non-convergence in its MRF inference. To overcome the drawbacks of BP, we show...
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