Matching cost function using robust soft rank transformations
暂无分享,去创建一个
[1] Vladimir Kolmogorov,et al. An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision , 2004, IEEE Trans. Pattern Anal. Mach. Intell..
[2] Sang Uk Lee,et al. Robust Stereo Matching Using Adaptive Normalized Cross-Correlation , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Alexandrina Rogozan,et al. Cross-comparison census for colour stereo matching applied to intelligent vehicle , 2012 .
[4] Carlo Tomasi,et al. A Pixel Dissimilarity Measure That Is Insensitive to Image Sampling , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[5] David G. Lowe,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.
[6] Paul A. Viola,et al. Alignment by Maximization of Mutual Information , 1997, International Journal of Computer Vision.
[7] Jae Wook Jeon,et al. Support Local Pattern and its Application to Disparity Improvement and Texture Classification , 2014, IEEE Transactions on Circuits and Systems for Video Technology.
[8] Alexandrina Rogozan,et al. A robust cost function for stereo matching of road scenes , 2014, Pattern Recognit. Lett..
[9] Sang Uk Lee,et al. Joint Depth Map and Color Consistency Estimation for Stereo Images with Different Illuminations and Cameras , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Richard Szeliski,et al. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms , 2001, International Journal of Computer Vision.
[11] Heiko Hirschmüller,et al. Evaluation of Stereo Matching Costs on Images with Radiometric Differences , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Heiko Hirschmüller,et al. Stereo Processing by Semiglobal Matching and Mutual Information , 2008, IEEE Trans. Pattern Anal. Mach. Intell..
[13] C. Stentoumis,et al. On accurate dense stereo-matching using a local adaptive multi-cost approach , 2014 .