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Belief propagation (BP) is a popular global optimization technique in computer vision. However, it requires huge bandwidth and memory in hardware implementation because it iteratively processes messages between the neighboring nodes. In this paper, we propose an efficient message reduction algorithm that greatly reduces the bandwidth and memory consumption. Compared with the original message passing...
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