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Reconstruction of Articulated Objects from Point Correspondences in a Single Uncalibrated Image

Camillo J. Taylor
CVPR 2000 pp. 1677-1684
doi:10.1109/CVPR.2000.855885 /cvpr/2000/taylor2000cvpr-reconstruction/

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.

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Text

Taylor. "Reconstruction of Articulated Objects from Point Correspondences in a Single Uncalibrated Image." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000. doi:10.1109/CVPR.2000.855885

Markdown

[Taylor. "Reconstruction of Articulated Objects from Point Correspondences in a Single Uncalibrated Image." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000.](https://mlanthology.org/cvpr/2000/taylor2000cvpr-reconstruction/) doi:10.1109/CVPR.2000.855885

BibTeX

@inproceedings{taylor2000cvpr-reconstruction,
  title     = {{Reconstruction of Articulated Objects from Point Correspondences in a Single Uncalibrated Image}},
  author    = {Taylor, Camillo J.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2000},
  pages     = {1677-1684},
  doi       = {10.1109/CVPR.2000.855885},
  url       = {https://mlanthology.org/cvpr/2000/taylor2000cvpr-reconstruction/}
}