Abstract
A model is developed for detecting the displacement field in spatiotemporal image sequences. It allows for affine shape deformations of corresponding spatial regions and for affine transformations of the image intensity range. The model includes the block matching method as a special case. A least-squares algorithm is used to find the model parameters. It is experimentally demonstrated that the affine matching model performs better than other standard approaches. The resulting 2-D motion estimates are then used by a 3-D affine model and a least-squares algorithm that recover 3-D rigid body motion and depth from two perspective views. >
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