抄録
Visual extraction of an object that is the target of attention or manipulation, is an increasingly important issue in robot vision. In real world applications, a robot needs to extract an object designated by a human in a complicated environment. Most previous methods have a limited ability to extract desired objects from a cluttered scene. Moreover, for the purpose of human-robot interfaces, it is desirable to make it as easy as possible for the user to designate an object. In this paper, we propose a segmentation method that can correctly extract a target object in complicated real world visual situations. This method exploits color and distance information in an integrated way. The system requires only a simple input to designate the target object.
