Adaptive B-splines and boundary estimation

Author

Figueiredo, Mário A T ; Leitão, José M N ; Jain, Anil K.

Author_Institution

Inst. de Telecomunicacoes, Inst. Superior Tecnico, Lisbon, Portugal

fYear

1997

fDate

17-19 Jun 1997

Firstpage

724

Lastpage

730

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

Keywords

curve fitting; motion estimation; splines (mathematics); adaptive B-splines; adaptive parametrically deformable contour; boundary estimation; curve fitting; minimum description length type criterion; observation model parameters; observation parameters; Bayesian methods; Biomedical imaging; Computer science; Deformable models; Delta modulation; Maximum likelihood estimation; Optimal control; Shape; Spline; Telecommunication control;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on

Conference_Location

San Juan

ISSN

1063-6919

Print_ISBN

0-8186-7822-4

Type

conf

DOI

10.1109/CVPR.1997.609406

Filename

609406