Model-based Multiresolution Motion Estimation in Noisy Images   W.B. Goh & G.R. Martin.    CVGIP: Image Understanding, Vol. 59, No. 3, May 1994, pp 307-319.   Abstract: It is argued that accurate optical flow can only be determined if problems such as local motion ambiguity, motion segmentation, and occlusion detection are simultaneously addressed. To meet this requirement, a new multiresolution region-growing algorithm is proposed. This algorithm consists of a region-growing process which is able to segment the flow field in an image into homogeneous regions which are consistent with a linear affine flow model. To ensure stability and robustness in the presence of noise, this region-growing process is implemented within the hierarchical framework of a spatial lowpass pyramid. The results of applying this algorithm to both natural and synthetic image sequences are presented.