Force work induced metric for face verification
作者： Jianjun Qian , Jian Yang , Zhangjing Yang , Weilan Wang
DOI: 10.1007/978-3-642-36669-7_37
关键词: Computer vision 、 Benchmark (computing) 、 Representation (mathematics) 、 Local binary patterns 、 Face (geometry) 、 Induced metric 、 Artificial intelligence 、 Facial recognition system 、 Metric (mathematics) 、 Pixel 、 Mathematics
摘要: This paper presents a robust and simple metric approach named Force Work Induced Metric (FWIM) according to Physical model. A novel image local descriptor based on FWIM (FWIM-LD) is then introduced for face verification. FWIM-LD captures the structure information between central pixel its neighbors effectively. PCA thus used obtain low-dimensional significant features. Subsequently, we employ binary-like representation method further improve verification rate. Experimental results challenging benchmark "Labeled Faces in Wild" (LFW) dataset demonstrate that proposed achieves better performance than state-of-the-art algorithms.
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