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Issue No.04 - April (2005 vol.27)
pp: 619,620,621,622,623,624
ABSTRACT
We report on the largest experimental study to date in multimodal 2D+3D face recognition, involving 198 persons in the gallery and either 198 or 670 time-lapse probe images. PCA-based methods are used separately for each modality and match scores in the separate face spaces are combined for multimodal recognition. Major conclusions are: 1) 2D and 3D have similar recognition performance when considered individually, 2) combining 2D and 3D results using a simple weighting scheme outperforms either 2D or 3D alone, 3) combining results from two or more 2D images using a similar weighting scheme also outperforms a single 2D image, and 4) combined 2D+3D outperforms the multi-image 2D result. This is the first (so far, only) work to present such an experimental control to substantiate multimodal performance improvement.
INDEX TERMS
Biometrics, Face recognition, Probes, Image recognition, Speech, Image sensors, Lenses, Terminology, Digital cameras, multisample., Index Terms- Biometrics, face recognition, three-dimensional face, multimodal
CITATION
"An evaluation of multimodal 2D+3D face biometrics", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.27, no. 4, pp. 619,620,621,622,623,624, April 2005, doi:10.1109/TPAMI.2005.70
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