Efficient Stereo Matching Using Histogram Aggregation with Multiple Slant Hypotheses

Author:

Antunes Michel,Barreto João P.

Publisher

Springer Berlin Heidelberg

Reference12 articles.

1. Min, D., Lu, J., Do, M.N.: A revisit to cost aggregation in stereo matching: How far can we reduce its computational redudancy? In: ICCV (2011)

2. Scharstein, D., Szeliski, R.: A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. IJCV (2001)

3. Szeliski, R., Scharstein, D.: Sampling the disparity space image. PAMI (2004)

4. Ogale, A.S., Aloimonos, Y.: Stereo correspondence with slanted surfaces: Critical implications of horizontal slant. In: CVPR (2004)

5. Klaus, A., Sormann, M., Karner, K.: Segment-based stereo matching using belief propagation and a self-adapting dissimilarity measure. In: ICPR (2006)

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On accurate dense stereo-matching using a local adaptive multi-cost approach;ISPRS Journal of Photogrammetry and Remote Sensing;2014-05

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