A Sobolev-type metric for polar active contours

Baust, Maximillian and Yezzi, Anthony J. and Ünal, Gözde and Navab, Nassir (2011) A Sobolev-type metric for polar active contours. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011), Colorado Springs, USA

[thumbnail of CVPR 2011] PDF (CVPR 2011)
Restricted to Registered users only

Download (3MB) | Request a copy


Polar object representations have proven to be a power- ful shape model for many medical as well as other com- puter vision applications, such as interactive image seg- mentation or tracking. Inspired by recent work on Sobolev active contours we derive a Sobolev-type function space for polar curves. This so-called polar space is endowed with a metric that allows us to favor origin translations and scale changes over smooth deformations of the curve. Moreover, the resulting curve flow inherits the coarse-to-fine behavior of Sobolev active contours and is thus very robust to local minima. These properties make the resulting polar active contours a powerful segmentation tool for many medical applications, such as cross-sectional vessel segmentation, aneurysm analysis, or cell tracking.
Item Type: Papers in Conference Proceedings
Uncontrolled Keywords: Sobolev active contours , Sobolev type metric , computer vision , polar active contours , polar object representations , segmentation tool
Subjects: Q Science > QA Mathematics > QA075 Electronic computers. Computer science
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Electronics
Faculty of Engineering and Natural Sciences
Depositing User: Gözde Ünal
Date Deposited: 05 Jan 2012 21:12
Last Modified: 26 Apr 2022 09:02
URI: https://research.sabanciuniv.edu/id/eprint/17595

Actions (login required)

View Item
View Item