Analysis of Adaptive Support-Weight Based Stereo Matching for Hardware Realization
Adaptive support-weight algorithm can generate high quality disparity map for stereo matching. But due to the complexity, it requires large internal memory size and bandwidth to meet the real-time constraint. In this paper, we first analyze the requirements of this algorithm from the hardware perspective. Then we propose our Support-Weight Window Reuse (SWWR) technique which can shorten computation time by the number of disparities, and Left-Right Cost Reuse (LRCR) to achieve bandwidth reduction by more than half. The comparison states that our proposed flow can generate much better disparity results, and meets the real-time constraint with relatively low memory cost and bandwidth.
Junbao Liu Shuai Wang Yang Li Jun Han Xiaoyang Zeng
State-Key Lab of ASIC and System, Fudan University, Shanghai 200433, China
国际会议
2011 IEEE 9th International Conference on ASIC(2011年第九届IEEE国际专用集成电路大会)
厦门
英文
59-62
2011-10-25（万方平台首次上网日期，不代表论文的发表时间）