An ellipse that is rotating within an image can be interpreted in different ways under different conditions. We are interested in the 'thin vs. fat ellipse' phenomenon; a thin rotating ellipse is perceived as undergoing rigid rotation, while a fat one is perceived as undergoing nonrigid deformation. Our computational model tries to emulate human perception using the tensor voting framework. The original 4-D tensor voting formalism is found not sufficient to solve this problem, and we augment it here to explicitly handle rotation and deformation.
['Changki Min', 'Gérard G. Medioni']
Matching and Interpretation of Planar Motion Using Tensor Voting