IR and visible light face recognition

Authors:
Xin Chen;Patrick J. Flynn;Kevin W. Bowyer
Affiliations:
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN 46556, USA;Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN 46556, USA;Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN 46556, USA
Venue:
Computer Vision and Image Understanding
Year:
2005

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Abstract

This paper presents the results of several large-scale studies of face recognition employing visible-light and infrared (IR) imagery in the context of principal component analysis. We find that in a scenario involving time lapse between gallery and probe, and relatively controlled lighting, (1) PCA-based recognition using visible-light images outperforms PCA-based recognition using infrared images, (2) the combination of PCA-based recognition using visible-light and infrared imagery substantially outperforms either one individually. In a same-session scenario (i.e., near-simultaneous acquisition of gallery and probe images) neither modality is significantly better than the other. These experimental results reinforce prior research that employed a smaller data set, presenting a convincing argument that, even across a broad experimental spectrum, the behaviors enumerated above are valid and consistent.