Accelerating Cost Aggregation for Real-Time Stereo Matching
2012 IEEE 18th International Conference on Parallel and Distributed Systems (ICPADS)
By Jianbin Fang,Ana Lucia Varbanescu,Jie Shen,Henk Sips,Gorkem Saygili,Laurens Van Der Maaten
Issue Date:December 2012
Real-time stereo matching, which is important in many applications like self-driving cars and 3-D scene reconstruction, requires large computation capability and high memory bandwidth. The most time-consuming part of stereo-matching algorithms is the aggre...