Given an accurate \mbox{3-D} shape model of a scene, the motion
parameters of a moving camera can be recovered with high accuracy
using model-based motion estimation techniques. Shape errors, however,
reduce the accuracy of this kind of motion estimation considerably. In
this paper, model-based motion estimation is combined with
simultaneous object shape refinement. A deformable \mbox{3-D} shape
model of low dimensionality is employed to approximate the object
shape. Camera position and orientation for all views as well as object
shape refinements are estimated simultaneously from the image data
using an optical-flow-based approach. In comparison to traditional
flexible body motion estimation, our formulation of the shape
deformation allows the object texture to slide on the object surface.
Experimental results illustrate that combined shape and motion
estimation using sliding textures improves the calibration data of the
individual views in comparison to fixed-shape model-based camera
motion estimation.
