Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face

In this paper, a kernel-based SOM-face method is proposed to recognize expression variant faces under the situation of only one training image per person. Based on the localization of the face, an unsupervised kernelSOM learning procedure is carried out to capture the common local features and the non-Euclidean structure of the image data, so that a compact and robust representation of the face can be obtained. Experiments on the FERET face database show that the Kernel-based SOM-face method can obtain higher recognition performance than the regular SOM-face method.

• Type: Conference
• Year: 2004
• Where: ISNN
• Authors: Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang
• Keywords: Expression Variant Faces, Feret Face Database, ISNN 2004, Kernel-based Som-face Method