Elastic local reconstruction for human face recognition

In this paper, a new face recognition algorithm based on a single frontal-view image for each face subject is proposed, which considers the effect of the face manifold structure. A human face is considered a combination of a sequence of local image blocks. Then an elastic local reconstruction (ELR) method is proposed to measure the similarities between the image block pairs in order to measure the difference between the two face images. Our algorithm not only benefits from the face manifold structure, in terms of being robust to various image variations, but also is computationally simple because there is no need to build the face manifold. We evaluate the performance of our proposed face recognition algorithm with the use of different databases and consistent and promising experimental results were obtained.