Pose-varied Face Recognition Based on Neural Network and Hierarchical Support Vector Machines
Jiang Wei-xiang · Jisuanji gongcheng · 2006
The paper presents a method of pose-varied face recognition based on neural network and hierarchical support vector machines.At the stage of training,it transforms the feature vector of pose-varied image to the feature vector of standard image using neural network,then clusters the standard image feature vector,and trains the hierarchical support vector machines using the result of clustering.At the stage of the recognition,it transforms the feature vector of pose-varied image to the feature vector of standard image using the neural network,estimates which person the image mostly belongs to using hierarchical support vector machines,and confirms estimation using negative algorithm.The experiment shows that the effect is better.