Abstract：To solve the problem of kinship verification of facial image, an algorithm for neighborhood repulsed metric learning based on local feature fusion is proposed. Firstly, texture and skin color features are extracted from the key areas of the face images. Then, the feature fusion method is proposed. Finally, the metric learning method is introduced to learn a transformational matrix capable of making the distance between the samples with kinship smaller and the distance between the samples of non-kin larger. The prior knowledge of the similarity degree of existing data samples is utilized to learn the best similarity measure to describe the similarity of kinship samples better. The experimental results on KinFaceW-I and KinFaceW-II databases demonstrate the efficiency of the proposed algorithm.
胡正平，郭增洁，王蒙，孙 哲. 基于局部特征融合的邻域排斥度量学习亲属关系认证算法*[J]. 模式识别与人工智能, 2017, 30(6): 530-537.
HU Zhengping, GUO Zengjie, WANG Meng, SUN Zhe. Neighborhood Repulsed Metric Learning for Kinship Verification Based on Local Feature Fusion. , 2017, 30(6): 530-537.
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