1. DSpace at MEDIU
  2. Harvested articles مقالات مستوردة من مؤسسات وجامعات عالمية
  3. MIT Items
Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/5611
Full metadata record
DC FieldValueLanguage
dc.creatorGrimson, W. Eric L.-
dc.creatorLozano-Perez, Tomas-
dc.date2004-10-01T20:10:47Z-
dc.date2004-10-01T20:10:47Z-
dc.date1985-06-01-
dc.date.accessioned2013-10-09T02:40:17Z-
dc.date.available2013-10-09T02:40:17Z-
dc.date.issued2013-10-09-
dc.identifierAIM-841-
dc.identifierhttp://hdl.handle.net/1721.1/5611-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionThis paper discusses how sparse local measurements of positions and surface normals may be used to identify and locate overlapping objects. The objects are modeled as polyhedra (or polygons) having up to six degreed of positional freedom relative to the sensors. The approach operated by examining all hypotheses about pairings between sensed data and object surfaces and efficiently discarding inconsistent ones by using local constraints on: distances between faces, angles between face normals, and angles (relative to the surface normals) of vectors between sensed points. The method described here is an extension of a method for recognition and localization of non-overlapping parts previously described in [Grimson and Lozano-Perez 84] and [Gaston and Lozano-Perez 84].-
dc.format41 p.-
dc.format8294299 bytes-
dc.format6516094 bytes-
dc.formatapplication/postscript-
dc.formatapplication/pdf-
dc.languageen_US-
dc.relationAIM-841-
dc.subjectobject recognition-
dc.subjectsensor interpretations-
dc.titleRecognition and Localization of Overlapping Parts from Sparse Data-
Appears in Collections:MIT Items

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


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