Belief-Propagation on Edge Images for Stereo Analysis of Image Sequences

Author:

Guan Shushi,Klette Reinhard

Publisher

Springer Berlin Heidelberg

Reference10 articles.

1. Boykov, Y., Kolmogorov, V.: An experimental comparison of min-cut / max- flow algorithms for energy minimization in vision. IEEE Trans. Pattern Analysis Machine Intelligence 26, 1124–1137 (2004)

2. Boykov, Y., Veksler, O., Zabih, R.: Fast approximate energy minimization via graph cuts. IEEE Trans. Pattern Analysis Machine Intelligence 23, 1222–1239 (2001)

3. Felzenszwalb, P.F., Huttenlocher, D.P.: Efficient belief propagation for early vision. Int. J. Computer Vision 70, 41–54 (2006)

4. Frey, B.J., Koetter, R., Petrovic, N.: Very loopy belief propagation for unwrapping phase images. In: Dietterich, T.G., Becker, S., Ghahramani, Z. (eds.) Advances in Neural Information Processing Systems 14, MIT Press, Cambridge (2001)

5. Liu, Z., Klette, R.: Performance evaluation of stereo and motion analysis on rectified image sequences. CITR-TR-207, The University of Auckland, Computer Science Department, Auckland (2007)

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