A Fast 2D Shape Recovery Approach by Fusing Features and Appearance

@article{Zhu2009AF2,
  title={A Fast 2D Shape Recovery Approach by Fusing Features and Appearance},
  author={Jianke Zhu and Michael R. Lyu and Thomas S. Huang},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2009},
  volume={31},
  pages={1210-1224}
}
In this paper, we present a fusion approach to solve the nonrigid shape recovery problem, which takes advantage of both the appearance information and the local features. We have two major contributions. First, we propose a novel progressive finite Newton optimization scheme for the feature-based nonrigid surface detection problem, which is reduced to only solving a set of linear equations. The key is to formulate the nonrigid surface detection as an unconstrained quadratic optimization problem… CONTINUE READING
Highly Cited
This paper has 52 citations. REVIEW CITATIONS
18 Citations
43 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 18 extracted citations

53 Citations

01020'09'11'13'15'17
Citations per Year
Semantic Scholar estimates that this publication has 53 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 43 references

Taylo, “Active Appearance Models,

  • T. Cootes, G. Edwards
  • IEEE Trans. Pattern Analysis and Machine…
  • 2001
Highly Influential
10 Excerpts

Similar Papers

Loading similar papers…