Limitations of Non Model-Based Recognition Schemes

dc.creator	Moses, Yael
dc.creator	Ullman, Shimon
dc.date	2004-10-08T20:28:44Z
dc.date	2004-10-08T20:28:44Z
dc.date	1991-05-01
dc.date.accessioned	2013-10-09T02:46:05Z
dc.date.available	2013-10-09T02:46:05Z
dc.date.issued	2013-10-09
dc.identifier	AIM-1301
dc.identifier	http://hdl.handle.net/1721.1/6571
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description	Different approaches to visual object recognition can be divided into two general classes: model-based vs. non model-based schemes. In this paper we establish some limitation on the class of non model-based recognition schemes. We show that every function that is invariant to viewing position of all objects is the trivial (constant) function. It follows that every consistent recognition scheme for recognizing all 3-D objects must in general be model based. The result is extended to recognition schemes that are imperfect (allowed to make mistakes) or restricted to certain classes of objects.
dc.format	3427564 bytes
dc.format	1305449 bytes
dc.format	application/postscript
dc.format	application/pdf
dc.language	en_US
dc.relation	AIM-1301
dc.title	Limitations of Non Model-Based Recognition Schemes

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