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.
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机译：在本文中，我们比较了四种可行的密集立体对应措施的行为，分别是归一化互相关（NCC），定向梯度直方图（HOG），互信息（MI）和局部自相似（LSS），热可见的人体监测。我们的比较是基于Winner Take All（WTA）盒匹配立体声方法进行的。我们使用具有挑战性的热可见的视频帧对来评估每种对应措施的准确性和判别力，这些视频帧对是具有不同姿势，衣服和与照相机的距离的不同人，用于近距离人类监视应用。
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