Optimality in combinations of confidence measures for stereo vision
Reference
27th International Conference on Image and Vision Computing New Zealand. IVCNZ, Dunedin, 26 Nov 2012 - 28 Nov 2012. Proceedings of the 27th Conference on Image and Vision Computing New Zealand. 150-155. 2012
Degree Grantor
Abstract
Confidence measures for stereo vision are already popular for some time. Yet, comprehensive results on their performance evaluation are rare. There is still not yet any agreement on answering the question 'what is a good confidence measure'. Very little work has been done for improving discriminativity by exploiting information from combinations of different confidence measures. We present a method to determine an upper bound for performance increase possible by combining given confidence measures. We also provide a solution for a fusion of measures resulting in improved confidence accuracy on popular stereo benchmark data.
Description
DOI
10.1145/2425836.2425869