ML Anthology

Adaptive B-Splines and Boundary Estimation

Mário A. T. Figueiredo, José M. N. Leitão, Anil K. Jain
CVPR 1997 pp. 724-730
doi:10.1109/CVPR.1997.609406 /cvpr/1997/figueiredo1997cvpr-adaptive/

Abstract

This paper describes a boundary estimation scheme based on a new adaptive approach to B-spline curve fitting. The number of control points of the spline, their locations, and the observation parameters, are all considered unknown. The optimal number of control points is estimated via a new minimum description length (MDL) type criterion. The result is an adaptive parametrically deformable contour which also estimates the observation model parameters. Experiments on synthetic and real (medical) images confirm the adequacy and good performance of the approach.

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Text

Figueiredo et al. "Adaptive B-Splines and Boundary Estimation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997. doi:10.1109/CVPR.1997.609406

Markdown

[Figueiredo et al. "Adaptive B-Splines and Boundary Estimation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997.](https://mlanthology.org/cvpr/1997/figueiredo1997cvpr-adaptive/) doi:10.1109/CVPR.1997.609406

BibTeX

@inproceedings{figueiredo1997cvpr-adaptive,
  title     = {{Adaptive B-Splines and Boundary Estimation}},
  author    = {Figueiredo, Mário A. T. and Leitão, José M. N. and Jain, Anil K.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1997},
  pages     = {724-730},
  doi       = {10.1109/CVPR.1997.609406},
  url       = {https://mlanthology.org/cvpr/1997/figueiredo1997cvpr-adaptive/}
}