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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Arandjelovic, O. Hammoud, R. Cipolla, R. |
| Copyright Year | 2006 |
| Description | Author affiliation: Delphi Electronics and Safety, USA (Hammoud, R.; Cipolla, R.) || University of Cambridge, UK (Arandjelovic, O.) |
| Abstract | 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. |
| Starting Page | 50 |
| Ending Page | 50 |
| File Size | 789044 |
| Page Count | 1 |
| File Format | |
| ISBN | 0769526888 |
| DOI | 10.1109/AVSS.2006.86 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-11-22 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Biometrics Reflectivity Face recognition Data preprocessing Authentication Lighting Glass Optical imaging Face detection Optical sensors |
| Content Type | Text |
| Resource Type | Article |
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