Show simple item record

Recognition by Functional Parts

dc.contributor.authorRivlin, Ehuden_US
dc.contributor.authorDickinson, Sven J.en_US
dc.contributor.authorRosenfeld, Azrielen_US
dc.description.abstract(Also cross-referenced as CAR-TR-703) We present an approach to function-based object recognition that reasons about the functionality of an object's intuitive parts. We extend the popular "recognition by parts" shape recognition framework to support "recognition by functional parts", by com bining a set of functional primitives and their relations with a set of abstract volumetric shape primitives and their relations. Previous approaches have relied on more global object features, often ignoring the problem of object segmentation and thereby restricting themselves to range images of unoccluded scenes. We show how these shape primitives and relations can be easily recovered from superquadric ellipsoids which, in turn, can be recovered from either range or intensity images of occluded scenes. Furthermore, the proposed framework supports both unexpected (bottom-up) object recognition and expected (top-down) object recognition. We demonstrate the approach on a simple domain by recognizing a restricted class of hand-tools from 2-D images.en_US
dc.format.extent2885630 bytes
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-3222en_US
dc.titleRecognition by Functional Partsen_US
dc.typeTechnical Reporten_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtComputer Science Department Technical Reportsen_US

Files in this item


This item appears in the following Collection(s)

Show simple item record