Animated heads from ordinary images: a least-squares approach

We show that we can effectively fit arbitrarily complex animation models to noisy data extracted from ordinary face images. Our approach is based on least-squares adjustment, using of a set of progressively finer control triangulations and takes advantage of three complementary sources of information: stereo data, silhouette edges, and 2D feature points. In this way, complete head models - including ears and hair - can be acquired with a cheap and entirely passive sensor, such as an ordinary video camera. They can then be fed to existing animation software to produce synthetic sequences.


Published in:
Computer Vision and Image Understanding, 75, 3, 247-259
Year:
1999
Publisher:
Elsevier
ISSN:
1077-3142
Keywords:
Note:
EPFL, Lausanne, Switz
Laboratories:




 Record created 2007-01-16, last modified 2018-03-18

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