Departmental Papers (CIS)
Title
Reconstruction of Articulated Objects from Point Correspondences in a Single Uncalibrated Image
Date of this Version
December 2000
Document Type
Journal Article
Recommended Citation
Camillo J. Taylor, "Reconstruction of Articulated Objects from Point Correspondences in a Single Uncalibrated Image", . December 2000.
Abstract
This paper investigates the problem of recovering information about the configuration of an articulated object, such as a human figure, from point correspondences in a single image. Unlike previous approaches, the proposed reconstruction method does not assume that the imagery was acquired with a calibrated camera. An analysis is presented which demonstrates that there are a family of solutions to this reconstruction problem parameterized by a single variable. A simple and effective algorithm is proposed for recovering the entire set of solutions by considering the foreshortening of the segments of the model in the image. Results obtained by applying this algorithm to real images are presented.
Keywords
image based reconstruction, articulated figures, uncalibrated imagery
Date Posted: 30 April 2005
This document has been peer reviewed.
Comments
Postprint version. Published in Computer Vision and Image Understanding, Volume 80, Issue 3, December 2000, pages 349-363.
Publisher URL: http://dx.doi.org/10.1006/cviu.2000.0878