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One-shot integral invariant shape priors for variational segmentation (bibtex)
One-shot integral invariant shape priors for variational segmentation (bibtex)
by S. Manay, D. Cremers, A. J. Yezzi and S. Soatto
Reference:
One-shot integral invariant shape priors for variational segmentation (S. Manay, D. Cremers, A. J. Yezzi and S. Soatto), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR) (A. Rangarajan, B. Vemuri, A. L. Yuille, eds.), volume 3757, 2005. 
Bibtex Entry:
@string{emmcvpr="Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)"}
@string{lncs="LNCS"}
@inproceedings{Manay-et-al-05,
 author = {S. Manay and D. Cremers and A. J. Yezzi and S. Soatto},
 title = {One-shot integral invariant shape priors for variational segmentation},
 booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)},
 volume = {3757},
 editor = {A. Rangarajan and B. Vemuri and A. L. Yuille},
 series = {LNCS},
 year = {2005},
 pages = {414--426},
 keywords = {image-segmentation,shape,Dijkstra + PDE},
 topic = {Segmentation, Shape, Correspondence},
}
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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group SRL Group