Result 1 to 20 of 172 total
The natural vectorial total variation which arises from geometric measure theory. (English)
SIAM J. Imaging Sci. 5, No. 2, 537-563, electronic only (2012).
1
On a linear programming approach to the discrete Willmore boundary value problem and generalizations. (English)
Boissonnat, Jean-Daniel (ed.) et al., Curves and surfaces. 7th international conference, Avignon, France, June 24‒30, 2010. Revised selected papers. Berlin: Springer (ISBN 978-3-642-27412-1/pbk). Lecture Notes in Computer Science 6920, 629-646 (2012).
2
Silhouette-based variational methods for single view reconstruction. (English)
Cremers, Daniel (ed.) et al., Video processing and computational video. International seminar, Dagstuhl Castle, Germany, October 10‒15, 2010. Revised papers. Berlin: Springer (ISBN 978-3-642-24869-6/pbk). Lecture Notes in Computer Science 7082, 104-123 (2011).
3
Space-varying color distributions for interactive multiregion segmentation: discrete versus continuous approaches. (English)
Boykov, Yuri (ed.) et al., Energy minimization methods in computer vision and pattern recognition. 8th international conference, EMMCVPR 2011, St.~Petersburg, Russia, July 25‒27, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-23093-6/pbk). Lecture Notes in Computer Science 6819, 177-190 (2011).
4
Video processing and computational video. International seminar, Dagstuhl Castle, Germany, October 10‒15, 2010. Revised papers. (English)
Lecture Notes in Computer Science 7082. Berlin: Springer (ISBN 978-3-642-24869-6/pbk). vii, 213~p. EUR~49.22 (2011).
5
Pose-consistent 3D shape segmentation based on a quantum mechanical feature descriptor. (English)
Mester, Rudolf (ed.) et al., Pattern recognition. 33rd DAGM symposium, Frankfurt/Main, Germany, August 31‒September 2, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-23122-3/pbk). Lecture Notes in Computer Science 6835, 122-131 (2011).
6
A variational approach to vesicle membrane reconstruction from fluorescence imaging. (English)
Pattern Recognition 44, No. 12, 2944-2958 (2011).
7
Image-based 3D modeling via Cheeger sets. (English)
Kimmel, Ron (ed.) et al., Computer vision ‒ ACCV 2010. 10th Asian conference on computer vision, Queenstown, New Zealand, November 8‒12, 2010. Revised selected papers, Part I. Berlin: Springer (ISBN 978-3-642-19314-9/pbk). Lecture Notes in Computer Science 6492, 53-64 (2011).
8
A linear framework for region-based image segmentation and inpainting involving curvature penalization. (English)
Comput. Res. Repos. 2011, Article No. 1102.3830 (2011).
9
On a linear programming approach to the discrete willmore boundary value problem and generalizations. (English)
Comput. Res. Repos. 2011, Article No. 1101.0777 (2011).
10
Multiview stereo and silhouette consistency via convex functionals over convex domains (English)
IEEE Trans. Pattern Anal. Mach. Intell. 33, No. 6, 1161-1174 (2011).
11
Motion field estimation from alternate exposure images (English)
IEEE Trans. Pattern Anal. Mach. Intell. 33, No. 8, 1577-1589 (2011).
12
The elastic ratio: introducing curvature into ratio-based image segmentation (English)
IEEE Transactions on Image Processing 20, No. 9, 2565-2581 (2011).
13
Large-scale integer linear programming for orientation preserving $3D$ shape matching (English)
Comput. Graph. Forum 30, No. 5, 1471-1480 (2011).
14
Stereo scene flow for 3D motion analysis (English)
Stereo scene flow for 3D motion analysis, I-IX, 1-128 (2011).
15
Space-varying color distributions for interactive multiregion segmentation: discrete versus continuous approaches (English)
EMMCVPR, 177-190 (2011).
16
Multi-object tracking via high accuracy optical flowand finite set statistics (English)
ICASSP, 1409-1412 (2011).
17
Pose-consistent 3D shape segmentation based on a quantum mechanical feature descriptor (English)
DAGM-Symposium, 122-131 (2011).
18
Total variation for cyclic structures: convex relaxation and efficient minimization (English)
CVPR, 1905-1911 (2011).
19
An introduction to total variation for image analysis. (English)
Fornasier, Massimo (ed.), Theoretical foundations and numerical methods for sparse recovery. Papers based on the presentations of the summer school “Theoretical foundations and numerical methods for sparse recovery”, Vienna, Austria, August 31 ‒ September 4, 2009. Berlin: Walter de Gruyter (ISBN 978-3-11-022614-0/hbk; 978-3-11-022615-7/ebook). Radon Series on Computational and Applied Mathematics 9, 263-340 (2010).
20
Result 1 to 20 of 172 total
Start
Contact
Print
General Help
