查看文章

There has been a growing need to build an object recognition system that can successfully characterize object constancy, irrespective of lighting, shading, occlusions, viewpoint variations and most importantly, deal with the multitude of shapes, colors and sizes in which objects are found. Affordances on the other hand, provide symbolic grounding mechanisms that enable linking features obtained from visual perception with the functionality of the objects, which provides the most consistent and holistic characterization of an object. Recognition by Component Affordances (RBCA) is a recent theory that builds affordance features for recognition. As an extension of the psychophysical theory of Recognition by Components (RBC) to generic visual perception, RBCA is well suited for cognitive visual processing systems which are required to perform implicit cognitive tasks. A common task is to substitute a cup for a …