Optimal landmark detection using shape models and branch and bound

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2011, Pages 455-462

  Amberg, Brian ^a   Vetter, Thomas ^a  

^a UNIVERSITY OF BASEL   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

3D SHAPE MODEL; BRANCH AND BOUNDS; COMBINATORIAL PROBLEM; DATA SETS; FEATURE POINT DETECTORS; GENERAL CLASS; INITIAL GUESS; LANDMARK DETECTION; MODEL FIT; OPEN PROBLEMS; OPTIMAL CONFIGURATIONS; OPTIMALITY; SHAPE INFORMATION; SHAPE MODEL; VIDEO EDITING;

DETECTORS; FACE RECOGNITION; LINEAR PROGRAMMING; OPTIMIZATION;

THREE DIMENSIONAL;

EID: 84856683632     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2011.6126275     Document Type: Conference Paper

References (30)

1. B. Amberg, A. Blake, and T. Vetter. On compositional image alignment, with an application to active appearance models. In CVPR'09, volume 0, pages 1714-1721. IEEE Computer Society, June 2009.
2. V. Blanz, C. Basso, T. Vetter, and T. Poggio. Reanimating faces in images and video. In P. Brunet and D. W. Fellner, editors, EUROGRAPHICS 2003, volume 22, issue 3 of Computer Graphics Forum, pages 641-650. The Eurographics Association, Blackwell, 2003.
3. V. Blanz and T. Vetter. A morphable model for the synthesis of 3D faces. In SIGGRAPH'99: Computer Graphics and In-teractive Techniques, pages 187-194. ACM Press/Addison-Wesley Publishing Co., 1999.
4. L. Breiman. Classification and Regression Trees. Chapman & Hall/CRC, Boca Raton, 1984.
5. P. Breuer, K.-I. Kim,W. Kienzle, B. Schölkopf, and V. Blanz. Automatic 3D face reconstruction from single images or video. In FG'08, pages 1-8, Sept. 2008.
6. H. W. Byun. Realistic facial modeling and animation based on high resolution capture. In ACIVS'07: Advanced con-cepts for intelligent vision systems, pages 417-426. Springer, 2007.
7. K. Choi, S. Lee, and Y. Seo. A branch-and-bound algorithm for globally optimal camera pose and focal length. Image and Vision Computing, 28(9):1369-1376, Sept. 2010.
8. T. F. Cootes, G. J. Edwards, and C. J. Taylor. Active Appearance Models. PAMI, 23(6):681-685, 2001.
9. M. A. Fischler and R. C. Bolles. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM, 24(6):381-395, June 1981.
10. P. Fua. Regularized Bundle-Adjustment to model heads from image sequences without calibration data. Int. J. Comput. Vision, 38:153-171, July 2000.
11. W. R. Hamilton. On quaternions, or on a new system of imaginaries in algebra. Philosophical Magazine, Vol. 25(n 3):489-495, 1844.
12. R. Hartley and F. Kahl. Global optimization through rotation space search. International Journal of Computer Vision, 82(1):64-79, 2009.
13. P. J. Huber. Robust estimation of a location parameter. The Annals of Mathematical Statistics, 35(1):73-101, Mar. 1964.
14. C. H. Lampert, M. B. Blaschko, and T. Hofmann. Efficient subwindow search: A branch and bound framework for object localization. PAMI, 31(12):2129-2142, Dec. 2009.
15. A. H. Land and A. G. Doig. An automatic method for solving discrete programming problems. In M. Jünger, T. M. Liebling, D. Naddef, G. L. Nemhauser, W. R. Pulleyblank, G. Reinelt, G. Rinaldi, and L. A.Wolsey, editors, 50 Years of Integer Programming 1958-2008, chapter 5, pages 105-132. Springer Berlin Heidelberg, Berlin, Heidelberg, 2010.
16. K. Lekadir and G.-Z. Yang. Optimal feature point selection and automatic initialization in active shape model search. In D. Metaxas, L. Axel, G. Fichtinger, and G. Szkely, editors, MICCAI 2008, volume 5241 of LNCS, pages 434-441. Springer, 2008.
17. I. Matthews and S. Baker. Active Appearance Models Revisited. IJCV, 60(2):135-164, Nov. 2004.
18. C. Olsson, F. Kahl, and M. Oskarsson. Optimal Estimation of Perspective Camera Pose. In ICPR'06, pages 5-8, 2006.
19. P. Paysan, R. Knothe, B. Amberg, S. Romdhani, and T. Vetter. A 3d face model for pose and illumination invariant face recognition. In AVSS, Genova, Italy, 2009. IEEE.
20. P. Phillips, H. Moon, S. Rizvi, and P. Rauss. The FERET Evaluation Methodology for Face Recognition Algorithms. PAMI, 22:1090-1104, 2000.
21. P. Phillips, H.Wechsler, J. Huang, and P. Rauss. The FERET database and evaluation procedure for face recognition algorithms. Image and Vision Computing, 16(5):295-306, 1998.
22. S. Romdhani, J. Ho, T. Vetter, and D. J. Kriegman. Face recognition using 3-D models: Pose and illumination. Pro-ceedings of the IEEE, 94(11):1977-1999, 2006.
23. S. Romdhani. and T. Vetter. Estimating 3D shape and texture using pixel intensity, edges, specular highlights, texture constraints and a prior. In CVPR'05, volume 2, pages 986-993 vol. 2, 2005.
24. S. Romdhani and T. Vetter. 3D Probabilistic Feature Point Model for Object Detection and Recognition. In CVPR'07, pages 1-8, 2007.
25. N. Stoiber, R. Seguier, and G. Breton. Facial animation retargeting and control based on a human appearance space. Computer Animation and VirtualWorlds, 21(1):39-54, 2010.
26. P. Viola and M. Jones. Robust real-time object detection. In International Journal of Computer Vision, 2001.
27. D. Vlasic, M. Brand, H. Pfister, and J. Popovíc. Face transfer with multilinear models. ACM TOG, 24(3):426-433, July 2005.
28. M. Wimmer, F. Stulp, S. Pietzsch, and B. Radig. Learning local objective functions for robust face model fitting. PAMI, 30(8):1357-1370, 2008.
29. C. Zhang and Z. Zhang. A survey of recent advances in face detection. Technical report, Microsoft Research, 2010.
30. W. Zhao, R. Chellappa, P. J. Phillips, and A. Rosenfeld. Face recognition: A literature survey. ACM Comput. Surv., 35(4):399-458, Dec. 2003.