26 March 1986 Three-Dimensional Motion Analysis Using Shape Change Information
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, Seetharaman Gunasekaran, "Three-Dimensional Motion Analysis Using Shape Change Information", Proc. SPIE 0635, Applications of Artificial Intelligence III, (26 March 1986); doi: 10.1117/12.964145; https://doi.org/10.1117/12.964145
PROCEEDINGS
9 PAGES


SHARE
RELATED CONTENT

An improved silhouette for human pose estimation
Proceedings of SPIE (September 12 2017)
Trajectory guided recognition of actions
Proceedings of SPIE (November 08 1999)
Real time estimation of 3D human arm motion from markerless...
Proceedings of SPIE (September 30 2003)
Estimation of three dimensional motion in a 3 DTV image...
Proceedings of SPIE (November 01 1991)
Goalwatcher a system for the automatic detection of the...
Proceedings of SPIE (February 11 2002)

Back to Top