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This paper presents a new statistic, called probabilistic increment sign correlation (probabilistic ISC), for evaluating similarity between images of objects which have intra-class variation such as individual differences of human faces. The new statistic evaluates similarity between an input image and object classes, whereas most conventional methods, such as normalized cross-correlation, calculate...
In this paper, we propose a new distinctive feature, called joint Haar-like feature, for detecting faces in images. This is based on co-occurrence of multiple Haar-like features. Feature co-occurrence, which captures the structural similarities within the face class, makes it possible to construct an effective classifier. The joint Haar-like feature can be calculated very fast and has robustness against...
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