Using model-driven bundle-adjustment to model heads from raw video sequences
- 1 January 1999
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 46-53 vol.1
- https://doi.org/10.1109/iccv.1999.791196
Abstract
We show that we can effectively and automatically fit a complex facial animation model to uncalibrated image sequences. Our approach is based on model-driven bundle adjustment followed by least squares fitting. It takes advantage of three complementary sources of information: stereo data, silhouette edges and 2D feature points. In this way, complete head models 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.Keywords
This publication has 10 references indexed in Scilit:
- Self-calibration and metric reconstruction in spite of varying and unknown internal camera parametersPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Resolving ambiguities in auto–calibrationPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 1998
- From regular images to animated heads: A least squares approachPublished by Springer Nature ,1998
- Critical motion sequences for monocular self-calibration and uncalibrated Euclidean reconstructionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1997
- Autocalibration and the absolute quadricPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1997
- Canonical Representations for the Geometries of Multiple Projective ViewsComputer Vision and Image Understanding, 1996
- A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometryArtificial Intelligence, 1995
- A parallel stereo algorithm that produces dense depth maps and preserves image featuresMachine Vision and Applications, 1993
- Simulation of Facial Muscle Actions Based on Rational Free Form DeformationsComputer Graphics Forum, 1992
- The Fitting of Power Series, Meaning Polynomials, Illustrated on Band-Spectroscopic DataTechnometrics, 1974