Abstract
This paper investigates facial expression effects in face recognition from 3D shape using partial ICP. The partial ICP method could implicitly and dynamically extract the rigid parts of facial surface by selecting a part of nearest points pairs to calculate dissimilarity measure during registration of facial surfaces. The method is expected to be able to get much better performance than other methods in 3D face recognition under expression variation for its dynamic extraction of rigid parts of facial surface at the same time of matching. We also present an effective method for coarse alignment of facial shape, which is fully automatic. Experiments on 3D face database of 360 models with 40 subjects, 9 scans with four different kinds of expression for each subject, show partial ICP is very promising, compared with PCA baseline.
The authors are grateful for the grants from the National Science Foundation of China (60503019, 60533040) and Program for New Century Excellent Talents in University (NCET-04-0545)
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Wang, Y., Pan, G., Wu, Z., Wang, Y. (2006). Exploring Facial Expression Effects in 3D Face Recognition Using Partial ICP. In: Narayanan, P.J., Nayar, S.K., Shum, HY. (eds) Computer Vision – ACCV 2006. ACCV 2006. Lecture Notes in Computer Science, vol 3851. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11612032_59
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DOI: https://doi.org/10.1007/11612032_59
Publisher Name: Springer, Berlin, Heidelberg
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