Since the robustness of face recognition becomes worse due to the changes of sheltering,expression and illumination,or noise pollution,a face recognition algorithm based on sparse representation and feature fusion is proposed. The low-rank recovery algorithm is used to get the clean face images of training samples and test samples,and their feature vectors(LBP,HOG,Gabor)are extracted. The SRC classification test was performed for some training samples. A loss function is defined according to the recognition...
| 
推荐 
点击下列相关研究机构和相关文献作者，可以直接查到这些机构和作者被《中国知识资源总库》收录的其它文献，使您全面了解该机构和该作者的研究动态和历史。
