基于分形编码和奇异值分解的混合人脸识别方法
A Hybrid Method for Face Recognition Based on Fractal Coding and Singular Value Decomposition
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摘要: 该文提出了一种新的基于分形编码的人脸识别方法。在分形近邻距离的基础上，提出了分形奇异值近邻距离，并把分形编码和局部奇异值分解结合起来，提高了识别率。实验结果表明，与仅仅使用分形近邻距离相比，该算法对光照变化、表情和姿态变化具有更大的容忍度，而且训练时间短，识别率高。Abstract: In this paper, a new face recognition method based on fractal coding is proposed. Fractal singular value neighbor distance is brought forward based on fractal neighbor distance. Fractal coding and local singular value decomposition are used to improve the recognition rate. The experimental results show that the method can keep a good robustness to the variation of illumination, pose and expression, compared with fractal neighbor distances. Furthermore, the method shows that the training time is short and recognition rate is high.
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