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A survey of approaches and challenges in 3d and multi-modal 3d+2d face recognition, (2006)
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| Venue: | Comp. Vis. and Imag. Understand. |
| Citations: | 141 - 8 self |
BibTeX
@ARTICLE{Bowyer06asurvey,
author = {Kevin W Bowyer and Kyong Chang and Patrick Flynn},
title = {A survey of approaches and challenges in 3d and multi-modal 3d+2d face recognition,},
journal = {Comp. Vis. and Imag. Understand.},
year = {2006},
pages = {1--15}
}
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Abstract
Abstract This survey focuses on recognition performed by matching models of the three-dimensional shape of the face, either alone or in combination with matching corresponding two-dimensional intensity images. Research trends to date are summarized, and challenges confronting the development of more accurate three-dimensional face recognition are identified. These challenges include the need for better sensors, improved recognition algorithms, and more rigorous experimental methodology.
