An evaluation of three popular computer vision approaches for 3-d face synthesis

Authors:
Alexander Woodward;Da An;Yizhe Lin;Patrice Delmas;Georgy Gimel’farb;John Morris
Affiliations:
Dept. of Computer Science, The University of Auckland, Auckland, New Zealand;Dept. of Computer Science, The University of Auckland, Auckland, New Zealand;Dept. of Computer Science, The University of Auckland, Auckland, New Zealand;Dept. of Computer Science, The University of Auckland, Auckland, New Zealand;Dept. of Computer Science, The University of Auckland, Auckland, New Zealand;Dept. of Computer Science, The University of Auckland, Auckland, New Zealand
Venue:
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Year:
2006

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Abstract

We have evaluated three computer approaches to 3-D reconstruction – passive computational binocular stereo and active structured lighting and photometric stereo – in regard to human face reconstruction for modelling virtual humans. An integrated experimental environment simultaneously acquired images for 3-D reconstruction and data from a 3-D scanner which provided an accurate ground truth. Our goal was to determine whether today’s computer vision approaches are accurate and fast enough for practical 3-D facial reconstruction applications. We showed that the combination of structured lighting with symmetric dynamic programming stereo has good prospects with reasonable processing time and accuracy.