Research on a RBF Neural Network in Stereo Matching
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-24965-5_31
Reference10 articles.
1. Richard, S., Ramin, Z.: An Experimental Comparison of Stereo Algorithms. Vision Algorithms: Theory and Practice 1883 (1999)
2. Cassisa, C.: Local VS Global Energy Minimization Methods: Application to Stereo Matching. In: IEEE International Conference on Progress in Informatics and Computing, pp. 678–683 (2010)
3. Ho, Y.J., Kyoung, M.L., Sang, U.L.: Stereo Matching Using Scanline Disparity Discontinuity Optimization. In: Advanced Concepts for Intelligent Vision Systems, pp. 588–597 (2006)
4. Aaron, F.B., Stephen, S.I.: Large Occlusion Stereo. International Journal of Computer Vision 33(3), 181–200 (1999)
5. Yuri, B., Vladimir, K.: An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision. IEEE Transactions on PAMI 26, 1124–1137 (2004)
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