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

@article{Taylor2000ReconstructionOA,
  title={Reconstruction of Articulated Objects from Point Correspondences in a Single Uncalibrated Image},
  author={Camillo J. Taylor},
  journal={Computer Vision and Image Understanding},
  year={2000},
  volume={80},
  pages={349-363}
}
This paper investigates the problem of recovering information about the con guration of an articulated object, such as a human gure, 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 e ective algorithm is… CONTINUE READING
Highly Influential
This paper has highly influenced 31 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 473 citations. REVIEW CITATIONS
282 Citations
19 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 282 extracted citations

474 Citations

02040'01'04'08'12'16
Citations per Year
Semantic Scholar estimates that this publication has 474 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 19 references

Human articulated motion tracking

  • B. Bascle, B. North, A. Blake
  • In Workshop on Human Modelling,
  • 1998
1 Excerpt

Motion-Based Part Segmentation, Shape and Motion Estimation of Complex Multi- Part Objects: Application to Human Body Tracking

  • Ioannis Kakadiarsis
  • PhD thesis, University of Pennsylvania,
  • 1996
1 Excerpt

P nder : Real - time tracking of the human body

  • Ali Azarbayejani
  • IEEE Trans . Pattern Anal . Machine Intell .
  • 1994

Similar Papers

Loading similar papers…