TGV-fusion

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6570, Issue , 2011, Pages 245-258

  Pock, Thomas ^a   Zebedin, Lukas ^b   Bischof, Horst ^a  

^a GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

^b MICROSOFT   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PIPELINES; REDUNDANCY;

AUTOMATIC PROCESSING; FULLY AUTOMATED; GENERALIZED VARIATION; LOCATION AWARENESS; NUMERICAL ALGORITHMS; OVERLAPPING IMAGES; PRIMAL-DUAL FORMULATIONS; REGULARIZATION TERMS;

STEREO IMAGE PROCESSING;

EID: 79955853315     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-19391-0_18     Document Type: Article

References (15)

1. Leberl, F., Bischof, H., Pock, T., Irschara, A., Kluckner, S.: Aerial computer vision for a 3d virtual habitat. Computer 43, 24-31 (2010)
2. Agarwal, S., Snavely, N., Simon, I., Seitz, S.M., Szeliski, R.: Building rome in a day. In: International Conference on Computer Vision, ICCV (2009)
3. Zach, C., Pock, T., Bischof, H.: A globally optimal algorithm for robust TV-L1 range image integration. In: Proceedings of the 11th International Conference Computer Vision, Rio de Janeiro, Brazil, pp. 1-8 (2007)
4. Curless, B., Levoy, M.: A volumetric method for building complex models from range images. In: Proceedings of SIGGRAPH 1996, pp. 303-312 (1996)
5. Tikhonov, A.N.: On the stability of inverse problems. Dokl. Akad. Nauk SSSR 5, 195-198 (1943)
6. Rudin, L., Osher, S., Fatemi, E.: Nonlinear total variation based noise removal algorithms. Physica D 60, 259-268 (1992)
7. Nikolova, M.: A variational approach to remove outliers and impulse noise. J. Math. Imaging and Vision 20, 99-120 (2004)
8. Bredies, K., Kunisch, K., Pock, T.: Total generalized variation. Technical report, Institute for Computer Graphics and Vision (2010)
9. Rudin, L., Osher, S., Fatemi, E.: Nonlinear total variation based noise removal algorithms. Physica D 60, 259-268 (1992)
10. Aujol, J.F., Gilboa, G., Chan, T., Osher, S.: Structure-texture image decomposition-modeling, algorithms, and parameter selection. Int. J. Comp. Vision 67, 111-136 (2006)
11. Chan, T., Esedoglu, S.: Aspects of total variation regularized L1 function approximation. SIAM J. Appl. Math. 65, 1817-1837 (2004) (Pubitemid 41639797)
12. Chan, T., Esedoglu, S., Park, F., Yip, A.: Total Variation Image Restoration: Overview and Recent Developments. In: Mathematical Models in Computer Vision. Springer, Heidelberg (2005)
13. Huber, P.: Robust Statistics. Wiley, New York (1981)
14. Chambolle, A., Pock, T.: A first-order primal-dual algorithm for convex problems with applications to imaging (2010), http://hal.archives-ouvertes.fr/ hal-00490826
15. Hirschmüller, H.: Stereo vision in structured environments by consistent semiglobal matching. In: Conference on Computer Vision and Pattern Recognition, pp. 328-341 (2006)