Face Recognition Based on Maximum Spanning Tree Kernel and Gray Kernel
Qiang Rong Jiang, Zhe Wu · Applied Mechanics and Materials · 2014
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, economy 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 pattern recognition has been received significant attentions in the recent several years, and gray kernel and graph kernel are two popular approaches. The paper proposes maximum spanning tree kernel and region histogram intersection kernel; moreover, experiments demonstrate that higher face recognition accuracy can be achieved by multiple kernels which are the combination of them.