Hypothesis verification using parametric models and active vision strategies Lam, C. P., Venkatesh, S. and West, G .A. W. 1997, Hypothesis verification using parametric models and active vision strategies, Computer vision and image understanding, vol. 68, no. 2, pp. 209-236, doi: 10.1006/cviu.1997.0554. Attached Files Name Description MIMEType Size Downloads Title Hypothesis verification using parametric models and active vision strategies Author(s) Lam, C. P. Venkatesh, S. orcid.org/0000-0001-8675-6631 West, G .A. W. Journal name Computer vision and image understanding Volume number 68 Issue number 2 Start page 209 End page 236 Total pages 28 Publisher Academic Press Place of publication Maryland Heights, Mo. Publication date 1997-11 ISSN 1077-3142 1090-235X Summary This paper proposes a methodology for determining the shape and ultimately the functionality of objects from intensity images; 2D analytic functions are used to track 3D features during known camera motions. Three analytic functions are proposed that describe the relationship between pairs of points that are either stationary or moving depending on whether the points are on occluding boundaries or otherwise. Many of the problems of correspondence are reduced by using foveation, known camera motion, and active vision methods. The three analytic functions are shown to enable hypothesis refinement of the functionality of a number of 3D objects without full 3D information about the shape. Language eng DOI 10.1006/cviu.1997.0554 Field of Research 080104 Computer Vision Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture) HERDC Research category C1.1 Refereed article in a scholarly journal Copyright notice ©1997, Academic Press Persistent URL http://hdl.handle.net/10536/DRO/DU:30044221 Document type: Journal Article Collection: School of Information Technology Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 05 Apr 2012, 15:58:42 EST Wed, 18 Apr 2012, 12:15:45 EST Wed, 18 Apr 2012, 12:17:12 EST Mon, 30 Apr 2012, 10:30:05 EST Sat, 17 Jun 2017, 03:09:40 EST Filtered Full Citation counts:   Cited 2 times in TR Web of Science Cited 3 times in Scopus Search Google Scholar Access Statistics: 240 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Thu, 05 Apr 2012, 15:58:42 EST

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