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In this paper, SIFT algorithm is combined with AdaBoost algorithm, and a method of feature matching based on multi-pose face is put forward. Firstly, the face region is extracted from multi-pose face images by AdaBoost. Secondly, SIFT characteristic vectors of the main regions are matched. The images of the ORL face DB are used in this paper, and some pictures taken in the experiment are used too...
Based on the shape of landscape, a practical algorithm for detecting human face is put forward. This method takes a human face as a special kind of landscape, so digital elevation models (DEM) could be employed to detect candidate human faces. We first extract features of human faces by means of three kind of curvatures of faces (general Gaussian curvature, section curvatures and tangent curvatures)...
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