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Deformable model-based shape and motion analysis from images using motion residual error

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2 Author(s)
DeCarlo, D. ; Dept. of Comput. & Inf. Sci., Pennsylvania Univ., Philadelphia, PA, USA ; Metaxas, D.

We present a novel method for the shape and motion estimation of a deformable model using error residuals from model-based motion analysis. The motion of the model is first estimated using a model-based least squares method. Using the residuals from the least squares solution, the non-rigid structure of the model can be better estimated by computing how changes in the shape of the model affect its motion parameterization. This method is implemented as a component in a deformable model-based framework that uses optical flow information and edges. This general model-based framework is applied to human face shape and motion estimation. We present experiments that demonstrate that this framework is a considerable improvement over a framework that uses only optical flow information and edges

Published in:

Computer Vision, 1998. Sixth International Conference on

Date of Conference:

4-7 Jan 1998