Synthesis-based recognition of low resolution faces

TitleSynthesis-based recognition of low resolution faces
Publication TypeConference Papers
Year of Publication2011
AuthorsShekhar S, Patel VM, Chellappa R
Conference Name2011 International Joint Conference on Biometrics (IJCB)
Date Published2011/10/11/13
ISBN Number978-1-4577-1358-3
KeywordsDictionaries, Face, face images, face recognition, face recognition literature, face recognition systems, illumination variations, image resolution, low resolution faces, Organizations, PROBES, support vector machines, synthesis based recognition

Recognition of low resolution face images is a challenging problem in many practical face recognition systems. Methods have been proposed in the face recognition literature for the problem when the probe is of low resolution, and a high resolution gallery is available for recognition. These methods modify the probe image such that the resultant image provides better discrimination. We formulate the problem differently by leveraging the information available in the high resolution gallery image and propose a generative approach for classifying the probe image. An important feature of our algorithm is that it can handle resolution changes along with illumination variations. The effective- ness of the proposed method is demonstrated using standard datasets and a challenging outdoor face dataset. It is shown that our method is efficient and can perform significantly better than many competitive low resolution face recognition algorithms.