Abstract

We present a parallel and memory-efficient iterative algorithm based on 2D first-order regular graphs. For an M×N regular graph with L iterations, a carefully chosen computation order can reduce the memory resources from O(MN) to O(ML). This scheme can achieve a memory reduction of 4 to 27 times in typical computation-intensive problems such as stereo and motion.

© 2007 Optical Society of America

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