On Person Authentication by Fusing Visual and Thermal Face Biometrics
Arandjelovic, Ognjen, Hammoud, R I and Cipolla, R 2006, On Person Authentication by Fusing Visual and Thermal Face Biometrics, in AVSS 2006 : Proceedings of the International Conference on Video and Signal Based Surveillance 2006, IEEE, Piscataway, New Jersey, pp. 50-56, doi: 10.1109/AVSS.2006.86.
Recognition algorithms that use data obtained by imaging faces in the thermal spectrum are promising in achieving invariance to extreme illumination changes that are often present in practice. In this paper we analyze the performance of a recently proposed face recognition algorithm that combines visual and thermal modalities by decision level fusion. We examine (i) the effects of the proposed data preprocessing in each domain, (ii) the contribution to improved recognition of different types of features, (iii) the importance of prescription glasses detection, in the context of both 1-to-N and 1-to-1 matching (recognition vs. verification performance). Finally, we discuss the significance of our results and, in particular, identify a number of limitations of the current state-of-the-art and propose promising directions for future research.
ISBN
0769526888
Language
eng
DOI
10.1109/AVSS.2006.86
Field of Research
080104 Computer Vision 080106 Image Processing 080109 Pattern Recognition and Data Mining
Socio Economic Objective
890205 Information Processing Services (incl. Data Entry and Capture)
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.