Obtaining functional parametric models using active vision strategies

Lam, C. P., West, G. A. W. and Venkatesh, S. 2001, Obtaining functional parametric models using active vision strategies, Pattern recognition, vol. 34, no. 1, pp. 79-94, doi: 10.1016/S0031-3203(99)00198-3.

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Title Obtaining functional parametric models using active vision strategies
Author(s) Lam, C. P.
West, G. A. W.
Venkatesh, S.ORCID iD for Venkatesh, S. orcid.org/0000-0001-8675-6631
Journal name Pattern recognition
Volume number 34
Issue number 1
Start page 79
End page 94
Total pages 15
Publisher Pergamon
Place of publication Oxford, England
Publication date 2001-01
ISSN 0031-3203
Keyword(s) active vision
functional representation
2D and 3D scene analysis
model determination
Summary This paper addresses the problem of determining which 3D shape is present, and more importantly, the dimensions of the shape in a scene. This is performed in an active vision system because it reduces the complexity of the problem through the use of gaze stabilization, choice of foveation point, and selective processing by adaptively processing regions of interest. In our case, only a small number of equations and parameters are needed for each shape and these are incorporated into functional descriptions of the shapes.
Language eng
DOI 10.1016/S0031-3203(99)00198-3
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 ©2000, Pattern Recognition Society
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044243

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