Modeling object appearance using Context-Conditioned Component Analysis

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 07-12-June-2015, Issue , 2015, Pages 4156-4164

  Turmukhambetov, Daniyar ^a   Campbell, Neill D F ^a,b   Prince, Simon J D ^a,c   Kautz, Jan ^a,d  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF BATH   (United Kingdom)

^c Ealing   (United Kingdom)

^d NVIDIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; FRUITS;

APPEARANCE MODELS; COMPONENT ANALYSIS; DEFORMABLE OBJECT; GLOBAL TRANSFORMATION; LAYERED STRUCTURES; NONLINEAR STRUCTURE; OBJECT APPEARANCE; ONE-TO-ONE MAPPINGS;

PATTERN RECOGNITION;

EID: 84959224456     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2015.7299043     Document Type: Conference Paper

References (30)

1. P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman. Eigenfaces vs. fisherfaces: Recognition using class specific linear projection. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 19(7):711-720, 1997
2. V. Blanz and T. Vetter. A morphable model for the synthesis of 3d faces. In Proceedings of the 26th Annual Conference on Computer Graphics and Interactive Techniques, pages 187-194, 1999
3. E. Borenstein and S. Ullman. Class-specific, top-down segmentation. In Computer Vision-ECCV 2002, pages 109-122. Springer, 2002
4. L.-F. Chen, H.-Y. M. Liao, M.-T. Ko, J.-C. Lin, and G.-J. Yu. A new lda-based face recognition system which can solve the small sample size problem. Pattern Recognition, 33(10):1713-1726, 2000
5. X. Chen, R. Mottaghi, X. Liu, S. Fidler, R. Urtasun, and A. Yuille. Detect what you can: Detecting and representing objects using holistic models and body parts. In International Conference on Computer Vision and Pattern Recognition (CVPR), 2014
6. T. Cootes, C. Twining, V. Petrovic, K. Babalola, and C. Taylor. Computing accurate correspondences across groups of images. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 32(11):1994-2005, Nov 2010
7. T. F. Cootes, G. J. Edwards, and C. J. Taylor. Active appearance models. In Computer Vision-ECCV 1998, pages 484-498. Springer, 1998
8. G. J. Edwards, C. J. Taylor, and T. F. Cootes. Interpreting face images using active appearance models. In Automatic Face and Gesture Recognition, Third IEEE International Conference on, pages 300-305. IEEE, 1998
9. A. A. Efros and W. T. Freeman. Image quilting for texture synthesis and transfer. In Proceedings of the 28th Annual Conference on Computer graphics and Interactive Techniques, pages 341-346. ACM, 2001
10. S. A. Eslami, N. Heess, and J. Winn. The shape boltzmann machine: a strong model of object shape. In International Conference on Computer Vision and Pattern Recognition (CVPR), pages 406-413. IEEE, 2012
11. M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The PASCAL Visual Object Classes Challenge 2010 (VOC2010) Results. http://www. pascalnetwork. org/challenges/VOC/voc2010/workshop/index. html. Accessed: 2014-09-25
12. E. Fix and J. L. Hodges Jr. Discriminatory analysisnonparametric discrimination: consistency properties. Technical report, DTIC Document, 1951
13. B. J. Frey and N. Jojic. Transformed component analysis: joint estimation of spatial transformations and image components. In International Conference on Computer Vision and Pattern Recognition (CVPR), pages 1190-1196, 1999
14. E. Jones and S. Soatto. Layered active appearance models. In Computer Vision, International Conference on, volume 2, pages 1097-1102. IEEE, 2005
15. W. Kabsch. A solution for the best rotation to relate two sets of vectors. Acta Crystallographica Section A: Crystal Physics, Diffraction, Theoretical and General Crystallography, 32(5):922-923, 1976
16. T. Leung and J. Malik. Representing and recognizing the visual appearance of materials using three-dimensional textons. International Journal of Computer Vision, 43(1):29-44, 2001
17. C. Liu, H.-Y. Shum, and W. T. Freeman. Face hallucination: Theory and practice. International Journal of Computer Vision, 75(1):115-134, 2007
18. C. Liu, H.-Y. Shum, and C.-S. Zhang. A two-step approach to hallucinating faces: global parametric model and local nonparametric model. In International Conference on Computer Vision and Pattern Recognition (CVPR), volume 1, pages I-192. IEEE, 2001
19. C. Liu, J. Yuen, A. Torralba, J. Sivic, and W. T. Freeman. SIFT flow: Dense correspondence across different scenes. In Computer Vision-ECCV 2008, pages 28-42. Springer, 2008
20. H. Mobahi, C. Liu, and W. T. Freeman. A compositional model for low-dimensional image set representation. In International Conference on Computer Vision and Pattern Recognition (CVPR). IEEE Computer Society, 2014
21. U. Mohammed, S. J. D. Prince, and J. Kautz. Visiolization: generating novel facial images. ACM Trans. Graph., 28(3):57:1-57:8, July 2009
22. S. J. D. Prince. Computer Vision: Models, Learning, and Inference. Cambridge University Press, 2012
23. C. E. Rasmussen and C. Williams. Gaussian Processes for Machine Learning. MIT Press, 2006
24. E. Sánchez-Lozano, F. De la Torre, and D. González-Jiménez. Continuous regression for non-rigid image alignment. In Computer Vision-ECCV 2012, pages 250-263. Springer, 2012
25. J. Shotton, A. Fitzgibbon, M. Cook, T. Sharp, M. Finocchio, R. Moore, A. Kipman, and A. Blake. Real-time human pose recognition in parts from a single depth image. In International Conference on Computer Vision and Pattern Recognition (CVPR), 2011
26. O. Teboul. Ecole Centrale Paris Facades Database. http://vision. mas. ecp. fr/Personnel/teboul/data. php. Accessed: 2014-07-01
27. M. E. Tipping. Sparse Bayesian learning and the relevance vector machine. The journal of machine learning research, 1:211-244, 2001
28. M. A. Turk and A. P. Pentland. Face recognition using eigenfaces. In International Conference on Computer Vision and Pattern Recognition (CVPR), pages 586-591. IEEE, 1991
29. X. Wang and X. Tang. Dual-space linear discriminant analysis for face recognition. In International Conference on Computer Vision and Pattern Recognition (CVPR), pages 564-569, 2004
30. J. Winn and N. Jojic. Locus: Learning object classes with unsupervised segmentation. In Computer Vision, International Conference on, volume 1, pages 756-763. IEEE, 2005.