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