Visual knowledge representation based on perceptual organization

This paper presents a generic approach of visual knowledge representation for man-made object recognition based on perceptual organization. In the approach, a generic model scheme is developed for coding both perceptual structures of objects and generic viewing situations of the objects in a qualitative manner. A set of generic edge features are defined as perceptual tokens for constructing structures of generic models. Faces are used as basic perceptual entities of a generic model. A synthetic view space is developed for coding generic views of the models and grouping perceptual structures based on the principles of shape constancy and face-pose consistency