Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Subspace-Based Holistic Registration for Low-Resolution Facial Images | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID591412 14 pages doi 2010 591412 Research Article Subspace-Based Holistic Registration for Low-Resolution Facial Images B. J. Boom L. J. Spreeuwers and R. N. J. Veldhuis Faculty of Electrical Engineering Mathematics and Computer Science University of Twente . Box 217 7500 AE Enschede The Netherlands Correspondence should be addressed to B. J. Boom Received 9 December 2009 Accepted 14 July 2010 Academic Editor Wilfried R. Philips Copyright 2010 B. J. Boom et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Subspace-based holistic registration is introduced as an alternative to landmark-based face registration which has a poor performance on low-resolution images as obtained in camera surveillance applications. The proposed registration method finds the alignment by maximizing the similarity score between a probe and a gallery image. We use a novel probabilistic framework for both user-independent as well as user-specific face registration. The similarity is calculated using the probability that the face image is correctly aligned in a face subspace but additionally we take the probability into account that the face is misaligned based on the residual error in the dimensions perpendicular to the face subspace. We perform extensive experiments on the FRGCv2 database to evaluate the impact that the face registration methods have on face recognition. Subspace-based holistic registration on low-resolution images can improve face recognition in comparison with landmark-based registration on high-resolution images. The performance of the tested face recognition methods after subspace-based holistic registration on a low-resolution version of the FRGC database is similar to .
