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Chair of Computer Vision & Artificial Intelligence

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85748 Garching info@vision.in.tum.de

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A variational framework for image segmentation combining motion estimation and shape regularization (bibtex)
A variational framework for image segmentation combining motion estimation and shape regularization (bibtex)
by D. Cremers
Reference:
A variational framework for image segmentation combining motion estimation and shape regularization (D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (C. Dyer, P. Perona, eds.), volume 1, 2003. 
Bibtex Entry:
@string{cvpr="IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"}
@inproceedings{Cremers-03,
 author = {D. Cremers},
 title = {A variational framework for image segmentation combining motion estimation
    and shape regularization},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year = {2003},
 editor = {C. Dyer and P. Perona},
 volume = {1},
 pages = {53--58},
 month = {June},
 titleurl = {cvpr03.pdf},
 topic = {Optic Flow, Segmentation, Motion},
}
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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