Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6615
Full metadata record
DC FieldValueLanguage
dc.creatorChaney, Ronald D.-
dc.date2004-10-08T20:34:30Z-
dc.date2004-10-08T20:34:30Z-
dc.date1992-10-01-
dc.date.accessioned2013-10-09T02:46:09Z-
dc.date.available2013-10-09T02:46:09Z-
dc.date.issued2013-10-09-
dc.identifierAIM-1392-
dc.identifierhttp://hdl.handle.net/1721.1/6615-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionThe interpretation and recognition of noisy contours, such as silhouettes, have proven to be difficult. One obstacle to the solution of these problems has been the lack of a robust representation for contours. The contour is represented by a set of pairwise tangent circular arcs. The advantage of such an approach is that mathematical properties such as orientation and curvature are explicityly represented. We introduce a smoothing criterion for the contour tht optimizes the tradeoff between the complexity of the contour and proximity of the data points. The complexity measure is the number of extrema of curvature present in the contour. The smoothing criterion leads us to a true scale-space for contours. We describe the computation of the contour representation as well as the computation of relevant properties of the contour. We consider the potential application of the representation, the smoothing paradigm, and the scale-space to contour interpretation and recognition.-
dc.format279979 bytes-
dc.format654305 bytes-
dc.formatapplication/octet-stream-
dc.formatapplication/pdf-
dc.languageen_US-
dc.relationAIM-1392-
dc.titleAnalytical Representation of Contours-
Appears in Collections:MIT Items

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.