Paper
26 March 1986 Three-Dimensional Motion Analysis Using Shape Change Information
Tzay Y. Young, Seetharaman Gunasekaran
Author Affiliations +
Proceedings Volume 0635, Applications of Artificial Intelligence III; (1986) https://doi.org/10.1117/12.964145
Event: 1986 Technical Symposium Southeast, 1986, Orlando, United States
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.
© (1986) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tzay Y. Young and Seetharaman Gunasekaran "Three-Dimensional Motion Analysis Using Shape Change Information", Proc. SPIE 0635, Applications of Artificial Intelligence III, (26 March 1986); https://doi.org/10.1117/12.964145
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KEYWORDS
Image segmentation

Motion analysis

Shape analysis

Motion estimation

Binary data

3D image processing

Artificial intelligence

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