MODEL-BASED MULTIRESOLUTION MOTION ESTIMATION IN NOISY IMAGES

It is argued that accurate optical flow can only be determined if prob lems such as local motion ambiguity, motion segmentation, and occlusio n detection are simultaneously addressed. To meet this requirement, a new multiresolution region-growing algorithm is proposed. This algorit hm consists of a region-growing process which is able to segment the f low field in an image into homogeneous regions which are consistent wi th a linear affine flow model. To ensure stability and robustness in t he presence of noise, this region-growing process is implemented withi n the hierarchical framework of a spatial lowpass pyramid. The results of applying this algorithm to both natural and synthetic image sequen ces are presented. (C) 1994 Academic Press, Inc.