The Research And Implementation Of Face Detection Based On Support Vector Machines

On the basis of in-depth understanding of the Face Detection current development trends, in-depth analysis of a variety of face detection methods and the problems in face detection, I propose the Face Detection methods of my paper. In the first, using the color adaptive models based on white balance method detects skin color pixels of the importation color images; then, get the skin color candidate regions; using the local linear embedding algorithm based on Image Euclidean distance reduces the dimensions of candidate regions; then sending the data of dimensionality reduction to the trained SVM classifier for classification. Comparing to other typical face detection methods, the methed of this baper achieves better results.