Accurate regression procedures for active appearance models

BMVC 2011 - Proceedings of the British Machine Vision Conference 2011

Volumn , Issue , 2011, Pages

  Sauer, Patrick ^a   Cootes, Tim ^a   Taylor, Chris ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; DECISION TREES; IMAGE RECOGNITION;

ACTIVE APPEARANCE MODELS; BOOSTING APPROACH; IMPROVE PERFORMANCE; LINEAR FORMULATION; NON-LINEAR REGRESSION METHOD; REGRESSION METHOD; SELECTION PROCEDURES; TRAINING DATABASE;

REGRESSION ANALYSIS;

EID: 84898445517     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C25.30     Document Type: Conference Paper

References (23)

1. BioID Database. URL https://support.bioid.com/downloads/facedb/index.php.
2. XM2VTS Database. URL http://www.ee.surrey.ac.uk/CVSSP/xm2vtsdb/.
3. Timo Ahonen, Abdenour Hadid, and Matti Pietik. Face Recognition with Local Binary Patterns. ECCV2004, pages 469-481.
4. Simon Baker and Iain Matthews. Lucas-Kanade 20 Years On: A Unifying Framework. International Journal of Computer Vision, 56(3):221-255, 2004.
5. Aziz Umit Batur and Monson H Hayes. Adaptive active appearance models. IEEE transactions on image processing: a publication of the IEEE Signal Processing Society, 14(11):1707-21, 2005.
6. L Breiman, J Friedman, C.J. Stone, and R.A. Olshen. Classification and regression trees. Chapman and Hall/CRC, 1984.
7. Leo Breiman. Random Forests. Machine Learning, 45(1):532-32, 2001.
8. Michael Calonder, Vincent Lepetit, Christoph Strecha, and Pascal Fua. BRIEF: binary robust independent elementary features. ECCV2010, pages 778-792.
9. T.F Cootes, G.J. Edwards, and C.J. Taylor. Active appearance models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(6):681-685, 2001.
10. David Cristinacce and Tim Cootes. Boosted regression active shape models. In Proc. British Machine Vision Conference, Volume 2, pages 880-889, 2007.
11. P. Dollár and, P. Welinder, and P. Perona. Cascaded pose regression. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010, pages 1078-1085, June 2010.
12. N.D.H. Dowson and R. Bowden. Simultaneous Modeling and Tracking (SMAT) of Feature Sets. 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pages 99-105, 2001.
13. J H Friedman. Greedy function approximation: a gradient boosting machine. Annals of Statistics, 29(5):1189-1232, 2001.
14. Jerome Friedman, Trevor Hastie, and Robert Tibshirani. Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors). The Annals of Statistics, 28(2):337-407, 2000.
15. Trevor Hastie, Robert Tibshirani, and Jerome Friedman. The Elements of Statistical Learning. Springer, 2003.
16. Hyung-Soo Lee and Daijin Kim. Tensor-based AAM with continuous variation estimation: application to variation-robust face recognition. IEEE transactions on pattern analysis and machine intelligence, 31(6):1102-16, 2009.
17. Iain Matthews and Simon Baker. Active Appearance Models Revisited. International Journal of Computer Vision, 60(2):135-164, 2004.
18. Jason Saragih and Roland Göcke. Learning AAM fitting through simulation. Pattern Recognition, 42(11):2628-2636, 2009.
19. Jason Saragih and Roland Goecke. Learning active appearance models from image sequences. In Proceedings of the HCSNet workshop on Use of vision in human-computer interaction - Volume 56, VisHCI '06, pages 51-60, 2006.
20. P. A. Tresadern, P. Sauer, and T. F. Cootes. Additive update predictors in active appearance models. In British Machine Vision Conference, 2010.
21. Matthew Turk and Alex Pentland. Eigenfaces for recognition. Journal of Cognitive Neuroscience, 3:71-86, 1991.
22. P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple features. Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, pages I-511-I-518, 2001.
23. Shaohua Kevin Zhou and Dorin Comaniciu. Shape regression machine. In Proceedings of the 20th international conference on Information processing in medical imaging, IPMI'07, pages 13-25, Berlin, Heidelberg, 2007. Springer-Verlag.