Τίτλος:
Bidirectional relighting for 3D-aided 2D Face Recognition
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
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.
Συγγραφείς:
Toderici, G.
Passalis, G.
Zafeiriou, S.
Tzimiropoulos, G.
and Petrou, M.
Theoharis, T.
Kakadiaris, I. A.
Εκδότης:
IEEE Comput. Soc
Τίτλος συνεδρίου:
2010 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)
DOI:
10.1109/CVPR.2010.5539995
