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Reconstruction of Articulated Objects from Point Correspondences in a Single Uncalibrated Image
Hilton Head, South Carolina June 13-June 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CVPR.2000.8558852000 IEEE Computer Society Conference ...
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Camillo J. Taylor, "Reconstruction of Articulated Objects from Point Correspondences in a Single Uncalibrated Image," Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 1, pp. 1677, 2000 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'00) - Volume 1, 2000.
 
 
BibTex
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@article{ 10.1109/CVPR.2000.855885,
author = {Camillo J. Taylor},
title = {Reconstruction of Articulated Objects from Point Correspondences in a Single Uncalibrated Image},
journal ={Computer Vision and Pattern Recognition, IEEE Computer Society Conference on},
volume = {1},
year = {2000},
issn = {1063-6919},
pages = {1677},
doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2000.855885},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
TI - Reconstruction of Articulated Objects from Point Correspondences in a Single Uncalibrated Image
SN - 1063-6919
SP
EP
A1 - Camillo J. Taylor,
PY - 2000
VL - 1
JA - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
ER -
 
Camillo J. Taylor, University of Pennsylvania
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 is 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.
Citation:
Camillo J. Taylor, "Reconstruction of Articulated Objects from Point Correspondences in a Single Uncalibrated Image," cvpr, vol. 1, pp.1677, 2000 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'00) - Volume 1, 2000
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