Object Representation for Recognition-By-Alignment
نویسنده
چکیده
We present an approach general enough to apply to recognition of complex rigid 3D objects from either a single intensity image or a single range image. Within the general paradigm of recognition by alignment, we address (1) deenition and detection of primitives, (2) indexing to model hypotheses, (3) constructing view sphere models from sensed data, and (4) aligning model and sensed features for veriication. The overall paradigm is not new, but rather ts within theory already espoused by Lowe and Ullman and many others: our position is therefore both a synthesis of and endorsement of much other work toward recognition of rigid free-form objects.
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