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This paper presents a real-time face detection algorithm. It improves state-of-the-art 2D object detection techniques by additionally evaluating a disparity map, which is estimated for the face region using a calibrated stereo camera setup. First, faces are detected in the 2D images with a rapid object classifier based on haar-like features. In a second step, falsely detected faces are removed by...
Faces captured by surveillance cameras are often of very low resolution. This significantly deteriorates face recognition performance. Super-resolution techniques have been proposed in the past to mitigate this. This paper proposes the novel use of a Locality Preserving Projections (LPP) algorithm called Direct Locality Preserving Projections (DLPP) for super resolution of facial images, or ldquoface...
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