Direkt zum Inhalt springen
Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich

Menu

Links

Informatik IX
Chair of Computer Vision & Artificial Intelligence

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

Follow us on:
CVG Group DVL Group

News

02.10.2020

We have five papers accepted to 3DV 2020!

30.09.2020

Our effcient deep network architectures form the AI engine of the project Slow Down COVID-19 at Harvard.

24.07.2020

Our practical course "Vision-based Navigation" (WS18, SS19) by Dr. Vladyslav Usenko and Nikolaus Demmel was honored as best practical course in the academic year 2018/2019 by the department for Informatics.

07.05.2020

We are organizing a workshop on Map-based Localization for Autonomous Driving at ECCV 2020, Glasgow, UK.

13.04.2020

Daniel Cremers received an ERC Advanced Grant (3.5 Mio Euro) for pioneering frontier research from the European Research Council. This constitutes his fifth ERC grant.

More


Kernel density estimation and intrinsic alignment for knowledge-driven segmentation: Teaching level sets to walk (bibtex)
Kernel density estimation and intrinsic alignment for knowledge-driven segmentation: Teaching level sets to walk (bibtex)
by D. Cremers, S. J. Osher and S. Soatto
Reference:
Kernel density estimation and intrinsic alignment for knowledge-driven segmentation: Teaching level sets to walk (D. Cremers, S. J. Osher and S. Soatto), In Pattern Recognition (Proc. DAGM) (C. E. Rasmussen, ed.), Springer, volume 3175, 2004. 
Bibtex Entry:
@string{dagm="Pattern Recognition (Proc. DAGM)"}
@string{lncs="LNCS"}
@inproceedings{Cremers-et-al-04b,
 author = {D. Cremers and S. J. Osher and S. Soatto},
 title = {Kernel density estimation and intrinsic alignment for knowledge-driven
    segmentation: {T}eaching level sets to walk},
 booktitle = {Pattern Recognition (Proc. DAGM)},
 year = {2004},
 editor = {C. E. Rasmussen},
 volume = {3175},
 series = {LNCS},
 pages = {36--44},
 publisher = {Springer},
 titleurl = {cremers_dagm04.pdf},
 keywords = {shape-priors},
 topic = {Level Sets, Shape Priors, Statistics, Segmentation},
}
Powered by bibtexbrowser
Back to Datasets

Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

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

Follow us on:
CVG Group DVL Group

News

02.10.2020

We have five papers accepted to 3DV 2020!

30.09.2020

Our effcient deep network architectures form the AI engine of the project Slow Down COVID-19 at Harvard.

24.07.2020

Our practical course "Vision-based Navigation" (WS18, SS19) by Dr. Vladyslav Usenko and Nikolaus Demmel was honored as best practical course in the academic year 2018/2019 by the department for Informatics.

07.05.2020

We are organizing a workshop on Map-based Localization for Autonomous Driving at ECCV 2020, Glasgow, UK.

13.04.2020

Daniel Cremers received an ERC Advanced Grant (3.5 Mio Euro) for pioneering frontier research from the European Research Council. This constitutes his fifth ERC grant.

More