
Proceedings Paper
Three-Dimensional Motion Analysis Using Shape Change InformationFormat | Member Price | Non-Member Price |
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Paper Abstract
This paper describes a method that extracts three-dimensional (3D) motion information by analyzing 2D shape changes of object faces in an image sequence. An object image is segmented into regions, each region corresponding to a face of the object. With orthographic projections, 3D rotation angles can be computed from a set of linear shape change parameters. For perspective projections, under certain conditions the effect on shape changes of planar faces can be taken into consideration by including quadratic parameters. Iterative algorithms for estimation of linear and quadratic shape change parameters are derived and implemented, using an operator formulation. 3D translation and rotation parameters are calculated from the shape change parameters. Experimental results on segmentation and parameter estimation are presented.
Paper Details
Date Published: 26 March 1986
PDF: 9 pages
Proc. SPIE 0635, Applications of Artificial Intelligence III, (26 March 1986); doi: 10.1117/12.964145
Published in SPIE Proceedings Vol. 0635:
Applications of Artificial Intelligence III
John F. Gilmore, Editor(s)
PDF: 9 pages
Proc. SPIE 0635, Applications of Artificial Intelligence III, (26 March 1986); doi: 10.1117/12.964145
Show Author Affiliations
Tzay Y. Young, University of Miami (United States)
Seetharaman Gunasekaran, University of Miami (United States)
Published in SPIE Proceedings Vol. 0635:
Applications of Artificial Intelligence III
John F. Gilmore, Editor(s)
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