Quantitative Evaluation of Matching Methods and Validity Measures for Stereo Vision Export

@article{citeulike:1652616, abstract = {The authors present a qualitative and quantitative comparison of various similarity measures that form the kernel of common area-based stereo-matching systems. The authors compare classical difference and correlation measures as well as nonparametric measures based on the rank and census transforms for a number of outdoor images. For robotic applications, important considerations include robustness to image defects such as intensity variation and noise, the number of false matches, and computational complexity. In the absence of ground truth data, the authors compare the matching techniques based on the percentage of matches that pass the left-right consistency test. The authors also evaluate the discriminatory power of several match validity measures that are reported in the literature for eliminating false matches and for estimating match confidence. For guidance applications, it is essential to have an estimate of confidence in the three-dimensional points generated by stereo vision. Finally, a new validity measure, the rank constraint, is introduced that is capable of resolving ambiguous matches for rank transform-based matching. 10.1177/02783640122067525}, author = {Banks, Jasmine and Corke, Peter}, citeulike-article-id = {1652616}, citeulike-linkout-0 = {http://dx.doi.org/10.1177/02783640122067525}, citeulike-linkout-1 = {http://ijr.sagepub.com/cgi/content/abstract/20/7/512}, day = {1}, doi = {10.1177/02783640122067525}, journal = {The International Journal of Robotics Research}, keywords = {comparison, correlation, evaluation, matching, similarity}, month = {July}, number = {7}, pages = {512--532}, posted-at = {2007-11-22 11:09:24}, priority = {5}, title = {Quantitative Evaluation of Matching Methods and Validity Measures for Stereo Vision}, url = {http://dx.doi.org/10.1177/02783640122067525}, volume = {20}, year = {2001} }

TY - JOUR ID - citeulike:1652616 L3 - citeulike-article-id:1652616 N2 - The authors present a qualitative and quantitative comparison of various similarity measures that form the kernel of common area-based stereo-matching systems. The authors compare classical difference and correlation measures as well as nonparametric measures based on the rank and census transforms for a number of outdoor images. For robotic applications, important considerations include robustness to image defects such as intensity variation and noise, the number of false matches, and computational complexity. In the absence of ground truth data, the authors compare the matching techniques based on the percentage of matches that pass the left-right consistency test. The authors also evaluate the discriminatory power of several match validity measures that are reported in the literature for eliminating false matches and for estimating match confidence. For guidance applications, it is essential to have an estimate of confidence in the three-dimensional points generated by stereo vision. Finally, a new validity measure, the rank constraint, is introduced that is capable of resolving ambiguous matches for rank transform-based matching. 10.1177/02783640122067525 IS - 7 JF - The International Journal of Robotics Research EP - 532 TI - Quantitative Evaluation of Matching Methods and Validity Measures for Stereo Vision VL - 20 SP - 512 KW - comparison KW - correlation KW - evaluation KW - matching KW - similarity AU - Banks, Jasmine AU - Corke, Peter PY - 2001/07/01/ UR - http://dx.doi.org/10.1177/02783640122067525 ER -