Login

The Alignment of Objects With Smooth Surfaces: Error Analysis of the Curvature Method

Show simple item record

dc.contributor.author Basri, Ronen en_US
dc.date.accessioned 2004-10-08T20:28:59Z
dc.date.available 2004-10-08T20:28:59Z
dc.date.issued 1991-11-01 en_US
dc.identifier.other AIM-1332 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/6582
dc.description.abstract The recognition of objects with smooth bounding surfaces from their contour images is considerably more complicated than that of objects with sharp edges, since in the former case the set of object points that generates the silhouette contours changes from one view to another. The "curvature method", developed by Basri and Ullman [1988], provides a method to approximate the appearance of such objects from different viewpoints. In this paper we analyze the curvature method. We apply the method to ellipsoidal objects and compute analytically the error obtained for different rotations of the objects. The error depends on the exact shape of the ellipsoid (namely, the relative lengths of its axes), and it increases a sthe ellipsoid becomes "deep" (elongated in the Z-direction). We show that the errors are usually small, and that, in general, a small number of models is required to predict the appearance of an ellipsoid from all possible views. Finally, we show experimentally that the curvature method applies as well to objects with hyperbolic surface patches. en_US
dc.description.provenance Made available in DSpace on 2004-10-08T20:28:59Z (GMT). No. of bitstreams: 2 AIM-1332.ps: 1331689 bytes, checksum: 51efb39c9604c51797a1bfb4c8f9cea4 (MD5) AIM-1332.pdf: 1036207 bytes, checksum: c70e2ec7082544c7d3dc55e57a833516 (MD5) Previous issue date: 1991-11-01 en
dc.format.extent 1331689 bytes
dc.format.extent 1036207 bytes
dc.format.mimetype application/postscript
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.relation.ispartofseries AIM-1332 en_US
dc.title The Alignment of Objects With Smooth Surfaces: Error Analysis of the Curvature Method en_US

Files in this item

Files Size Format
AIM-1332.pdf 1.036Mb application/pdf
AIM-1332.ps 1.331Mb application/postscript

This item appears in the following Collection(s)

Show simple item record

Search DSpace@MIT


Advanced Search

Browse

My Account

Links