CAJ | 학술논문

针对基于分割的遮挡人脸识别对光照不均衡敏感的问题,提出了一种低秩分解的人脸图像光照均衡化预处理方法.首先,基于人脸图像具有的左右对称性,得到一组扩展的测试人脸图像;然后,由矢量化的扩展测试人脸图像构成矩阵,并通过低秩矩阵分解技术提取出光照均衡化处理后的测试人脸图像用于后续的识别.基于 AR库的仿真实验结果初步验证了:本文方法对于改进具有左右对称特征的人脸遮挡区域检测,有效提升识别系统的性能有明显效果.
침대기우분할적차당인검식별대광조불균형민감적문제,제출료일충저질분해적인검도상광조균형화예처리방법.수선,기우인검도상구유적좌우대칭성,득도일조확전적측시인검도상;연후,유시양화적확전측시인검도상구성구진,병통과저질구진분해기술제취출광조균형화처리후적측시인검도상용우후속적식별.기우 AR고적방진실험결과초보험증료:본문방법대우개진구유좌우대칭특정적인검차당구역검측,유효제승식별계통적성능유명현효과.
Aiming to address the problem that segmentation based face recognition is sensitive to illumination imbalance, an illumination equalization preprocessing for face image is proposed. Firstly, a set of extended test images are generated by considering the fact that the face image has symmetry. Then, the extended test face images are vectorized to concatenate a matrix, from which the illumination equalized test face image is extracted by low rank decomposition technique for the following recognition. Simulation experimental results based on AR database primarily demonstrate that the proposed method could efficiently improve the performance of detecting the bilateral symmetry occlusion of face, and thus promote recognition rate considerably.