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.

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Title Hypothesis verification using parametric models and active vision strategies
Author(s) Lam, C. P.
Venkatesh, S.ORCID iD for 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
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

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