Automatic acquisition of object using eigen appearance

Abstract

Automatic acquisition of an object using model appearance from an environment is proposed in this paper. Robots directly interact with a defined environment in order to extract object shape from its scene. The robot extracts the targeted object's appearance, creating an eigenspace, and stores it into the memory server (or intelligent data carrier). Eigenspace is constructed every time a new object appears, and various appearances are accumulated gradually. A closed sequence of appearances is generated from the accumulated shapes, which is used for object recognition. Experimental results of object accumulation and recognition show the effectiveness of the proposed method.