Multi-View Face Detection and Pose Estimation Using A Composite Support Vector Machine across the View Sphere
نویسندگان
چکیده
Support Vector Machines have shown great potential for learning classification functions that can be applied to object recognition. In this work, we extend SVMs to model the 2D appearance of human faces which undergo nonlinear change across the view sphere. The model enables simultaneous multi-view face detection and pose estimation at
منابع مشابه
Support vector machine based multi-view face detection and recognition
Detecting faces across multiple views is more challenging than that in a fixed view, e.g. frontal view, owing to the significant non-linear variation caused by rotation in depth, self-occlusion and self-shading. To address this problem, a novel approach is presented in this paper. The view sphere is separated into several small segments. On each segment, a face detector is constructed. We expli...
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تاریخ انتشار 1999