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1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'97)
Adaptive B-Splines and Boundary Estimation
Puerto Rico
June 17-June 19
ISBN: 0-8186-7822-4
ASCII Text
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Mario A. T. Figueiredo, Jose M. N. Leitao Instituto de, Anil K. Jain, "Adaptive B-Splines and Boundary Estimation," Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, pp. 724, 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'97), 1997.
 
 
BibTex
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@article{ 10.1109/CVPR.1997.609406,
author = {Mario A. T. Figueiredo and Jose M. N. Leitao Instituto de and Anil K. Jain},
title = {Adaptive B-Splines and Boundary Estimation},
journal ={Computer Vision and Pattern Recognition, IEEE Computer Society Conference on},
volume = {0},
year = {1997},
issn = {1063-6919},
pages = {724},
doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.1997.609406},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
TI - Adaptive B-Splines and Boundary Estimation
SN - 1063-6919
SP
EP
A1 - Mario A. T. Figueiredo,
A1 - Jose M. N. Leitao Instituto de,
A1 - Anil K. Jain,
PY - 1997
KW - Deformable models; active contours; B-splines; Minimum description length; Bayesian estimation
VL - 0
JA - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
ER -
 
Mario A. T. Figueiredo, Telecomunicacoes and DEEC Instituto Superior Tecnico
Jose M. N. Leitao Instituto de, Telecomunicacoes and DEEC Instituto Superior Tecnico
Anil K. Jain, Michigan State University
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.
Index Terms:
Deformable models; active contours; B-splines; Minimum description length; Bayesian estimation
Citation:
Mario A. T. Figueiredo, Jose M. N. Leitao Instituto de, Anil K. Jain, "Adaptive B-Splines and Boundary Estimation," cvpr, pp.724, 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'97), 1997
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