Face Recognition Based on Gray Kernels and Diconnected Components Kernel of Directed Graph
Face Rccognition achieves considerable researches in the recent years involving with computer vision, pattern recognition, machine learning and artificial intelligence. Automatic face recognition has become a research focus in the pattern recognition and artificial intelligence fields, which not only bas important applications, but also has important theoretical significance. However, there are still many unsolved face recognition problems due to facial expression, pose, or illumination changes. In this paper, we propose a novel face recognition method based on multiple kernels, which is the combination of gray kernels and diconnccted components kernel of directed graph. The experimental resalts indicate that tbe method we proposed can achieve high recognition accuracy.
face recognition gray kernels diconnecied components kernel multiple kernels
Jiang Qiang-rong Lu Qianqian
College of Computer Science and Technology BJUT Beijing, China
国际会议
成都
英文
202-205
2010-12-17（万方平台首次上网日期，不代表论文的发表时间）