Bidirectional relighting for 3D-aided 2D face recognition

Toderici, G. and Passalis, G. and Zafeiriou, S. and Tzimiropoulos, G. and Petrou, M. and Theoharis, T. and Kakadiaris, I. A. (2010) Bidirectional relighting for 3D-aided 2D face recognition. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 13 - 18 June 2010, San Francisco, CA.

Full content URL: http://dx.doi.org/10.1109/CVPR.2010.5539995

Full text not available from this repository.

Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive

Abstract

In this paper, we present a new method for bidirectional relighting for 3D-aided 2D face recognition under large pose and illumination changes. During subject enrollment, we build subject-specific 3D annotated models by using the subjects' raw 3D data and 2D texture. During authentication, the probe 2D images are projected onto a normalized image space using the subject-specific 3D model in the gallery. Then, a bidirectional relighting algorithm and two similarity metrics (a view-dependent complex wavelet structural similarity and a global similarity) are employed to compare the gallery and probe. We tested our algorithms on the UHDB11 and UHDB12 databases that contain 3D data with probe images under large lighting and pose variations. The experimental results show the robustness of our approach in recognizing faces in difficult situations. ©2010 IEEE.

Additional Information:Conference Code: 81491
Keywords:2D images, 2D textures, 3D data, 3D models, Complex wavelets, Global similarity, Illumination changes, Normalized image, Pose variation, Relighting, Similarity metrics, Structural similarity, Subject-specific, View-dependent, Computer vision, Face recognition, Probes, Three dimensional
Subjects:G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
Related URLs:
ID Code:8736
Deposited On:16 Dec 2013 10:33

Repository Staff Only: item control page