Face Recognition Based on Maximum Spanning-tree Kernel and Gray KerneIs
Face Recognition has been recognized as a major research field in pattern recognition and computer vision. This technique is widely adopted, because of its unique convenience, eeonomy and high accuracy compared to other biological recognition techniques. An interesting and important challenge is thus to investigate high-efficient recognition algorithm. The introduction of kernel methods in face recognition has been received significant attentions in the recent several years. Gray kernels and graph kernel are two popular approaches. However, we demonstrate that higher classification accuracy can be achieved by multiple kernels which are the combination of gray kernels and graph kernel.
face recognition gray kernels graph 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
218-221
2010-12-17(万方平台首次上网日期,不代表论文的发表时间)