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CVPR
2005
IEEE

Multimodal Face Recognition: Combination of Geometry with Physiological Information

14 years 7 months ago
Multimodal Face Recognition: Combination of Geometry with Physiological Information
It is becoming increasingly important to be able to credential and identify authorized personnel at key points of entry. Such identity management systems commonly employ biometric identifiers. In this paper, we present a novel multimodal facial recognition approach that employs data from both visible spectrum and thermal infrared sensors. Data from multiple cameras is used to construct a threedimensional mesh representing the face and a facial thermal texture map. An annotated face model with explicit two-dimensional parameterization (UV) is then fitted to this data to construct: 1) a three-channel UV deformation image encoding geometry, and 2) a one-channel UV vasculature image encoding facial vasculature. Recognition is accomplished by comparing: 1) the parametric deformation images, 2) the parametric vasculature images, and 3) the visible spectrum texture maps. The novelty of our work lies in the use of deformation images and physiological information as means for comparison. We ha...
Ioannis A. Kakadiaris, Georgios Passalis, Theohari
Added 12 Oct 2009
Updated 29 Oct 2009
Type Conference
Year 2005
Where CVPR
Authors Ioannis A. Kakadiaris, Georgios Passalis, Theoharis Theoharis, George Toderici, I. Konstantinidis, Mohammed N. Murtuza
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