Function Based Generic Recognition for Multiple Object Categories
نویسندگان
چکیده
In function based object recognition an object category is represented by knowledge about object function Function based approaches are important because they provide a principled means of constructing generic recognition systems Our work concentrates speci cally on the relation between shape and function of rigid D objects Recognition of an observed shape is performed by reasoning about the function that it might serve Previous e orts have dealt with only a single basic level object category A number of important issues arise in extending this approach to deal with multiple basic level categories One issue is whether the knowledge about object function can be organized into general primitive chunks that are re usable across di erent categories Another issue is how to e ciently index the knowledge base so as to avoid exhaustive testing of an object shape against each known category In order to better explore these issues we have implemented a system whose domain of competence is a number of di erent object categories within the superordinate categories furniture and dishes The performance of this system has been evaluated on a database of over shapes
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