A comparative evaluation of multimodal dense stereo correspondence measures

In this paper, we compare the behavior of four viable dense stereo correspondence measures, which are Normalized Cross-Correlation (NCC), Histograms of Oriented Gradients (HOG), Mutual Information (MI), and Local Self-Similarity (LSS), for thermal-visible human monitoring. Our comparison is based on a Winner Take All (WTA) box matching stereo method. We evaluate the accuracy and the discriminative power of each correspondence measure using challenging thermal-visible pairs of video frames of different people with different poses, clothing, and distances to cameras for close-range human monitoring applications.