A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Segment-Based Stereo Matching Using Belief Propagation and a Self-Adapting Dissimilarity Measure
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
High-Quality Real-Time Stereo Using Adaptive Cost Aggregation and Dynamic Programming
3DPVT '06 Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
Real-time high-definition stereo matching on FPGA
Proceedings of the 19th ACM/SIGDA international symposium on Field programmable gate arrays
FPGA Design and Implementation of a Real-Time Stereo Vision System
IEEE Transactions on Circuits and Systems for Video Technology
Fast and Accurate Stereo Vision System on FPGA
ACM Transactions on Reconfigurable Technology and Systems (TRETS)
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Many hardware systems for stereo vision have been proposed. Their processing speed is very fast, but the algorithms used in them are limited in order to achieve the high processing speed by simplifying the sequences of the memory accesses and operations. The error rates by them can not compete with those by software programs. In this paper, we describe an FPGA implementation of a tree-structured dynamic programming algorithm. The computational complexity of this algorithm is higher than those by previous hardware systems, but the processing speed of our system is still fast enough for real-time applications, and its error rate is competitive with software algorithms.