基于改进SRC的局部遮挡人脸识别方法Local Occlusion Face Recognition Method Based on Improved Sparse Representation Classification
胡思佳,赵志诚
摘要(Abstract)：
针对现实场景中人脸存在较为随机的局部遮挡的情形，创建了多种遮挡类型并存的过完备字典，并提出改进的稀疏表示分类方法。此算法在稀疏表示分类(Sparse Representation Based Classification, SRC)的基础上引入噪声补偿，通过对测试图像与去噪图像间噪声差的调节来控制重构图像的生成，进而实现对重构图像与测试图像间残差的控制，以达到准确分类识别的效果。实验结果表明，改进后的算法稳定性好、识别率高，对于局部遮挡图像的识别有较好的鲁棒性。
关键词(KeyWords)： 局部遮挡;稀疏表示;噪声补偿;人脸识别
基金项目(Foundation): 山西省重点研发计划(201803D121025);; 山西省自然科学基金(201901D211304)
作者(Author): 胡思佳,赵志诚
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