Context modeling for facial landmark detection based on Non-Adjacent Rectangle (NAR) Haar-like feature

Image and Vision Computing

Volumn 30, Issue 3, 2012, Pages 136-146

  Zhao, Xiaowei ^a,b   Chai, Xiujuan ^a   Niu, Zhiheng ^c   Heng, Cherkeng ^c   Shan, Shiguang ^a  

^a INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c Panasonic Singapore Laboratories Pte Ltd (PSL)   (Singapore)

Author keywords

Co occurrence; Context modeling; Face detection; Facial landmark detection; NAR Haar like feature

Indexed keywords

ADAPTIVE BOOSTING; ALGORITHMS; COMPUTER VISION; SEMANTICS; TEXTURES;

ADABOOST LEARNING; CO-OCCURRENCE; CONTEXT CONSTRAINT; CONTEXT INFORMATION; CONTEXT MODELING; DISCRIMINATIVE FEATURES; FACE DATABASE; FACIAL LANDMARK; FACIAL LANDMARK DETECTION; GENERALIZATION CAPABILITY; GLOBAL CONTEXT; HAAR-LIKE FEATURES; HUMAN PSYCHOLOGY; LOCAL TEXTURE; LOW-LEVEL FEATURES; STATE-OF-THE-ART METHODS;

FACE RECOGNITION;

EID: 84862806194     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2011.12.004     Document Type: Conference Paper

References (45)

1. P. Viola, and M. Jones Rapid object detection using a boosted cascade of simple features Proc. of Computer Vision and Pattern Recognition 2001 511 518
2. Z. Niu, S. Shan, S. Yan, X. Chen, and W. Gao 2D cascaded AdaBoost for eye localization Proc. of International Conference on Pattern Recognition 2006 1216 1219
3. D. Vukadinovic, and M. Pantic Fully automatic facial feature point detection using Gabor feature based boosted classifiers Proc. of Systems, Man and Cybernetics 2005 1692 1698
4. A. Torralba, K.P. Murphy, and W.T. Freeman Using the forest to see the trees: exploiting context for visual object detection and localization Commun. ACM 53 3 2010 107 114
5. T. Kozakaya, T. Shibata, M. Yuasa, and O. Yamaguchi Facial feature localization using weighted vector concentration approach Image Vision Comput. 28 5 2010 772 780
6. M. Valstar, B. Martinez, X. Binefa, and M. Pantic Facial point detection using boosted regression and graph models Proc. of Computer Vision and Pattern Recognition 2010 2729 2736
7. M. Fink, and P. Perona Mutual boosting for contextual inference Proc. of Neural Information Processing Systems 2003
8. Z. Tu, and X. Bai Auto-context and its application to high-level vision tasks and 3D brain image segmentation IEEE Trans. Pattern Anal. Mach. Intell. 32 10 2010 1744 1757
9. O. Jesorsky, K. Kirchberg, and R. Frischholz Robust face detection using the Hausdorff distance Proc. of Audio and Video-Based Biometric Personm Authentication 2001 91 95
10. T. Kanade, J. Cohn, and Y. Tian Comprehensive database for facial expression analysis Proc. of Automatic Face and Gesture Recognition 2000 46 53
11. V. Jain, and E. Learned Miller FDDB: a benchmark for face detection in unconstrained settings, technical Report 2010 University of Massachusetts Amherst
12. X. Zhao, X. Chai, Z. Niu, C. Heng, and S. Shan Context constrained facial landmark localization based on discontinuous Haar-like feature Proc. of Automatic Face and Gesture Recognition 2011 673 678
13. T. Mita, T. Kaneko, and O. Hori Joint Haar-like features for face detection Proc. of International Conference on Computer Vision 2005 1619 1626
14. R. Lienhart, and J. Maydt An extended set of Haar-like features for rapid object detection Proc. of International Conference on Pattern Recognition 2002 900 903
15. S.Z. Li, and Z. Zhang FloatBoost learning and statistical face detection IEEE Trans. Pattern Anal. Mach. Intell. 26 9 2004 1112 1123
16. B.S. Manjunath, and W.Y. Ma Texture features for browsing and retrieval of image data IEEE Trans. Pattern Anal. Mach. Intell. 18 8 1996 837 842
17. D. Lowe Distinctive image features from scale-invariant keypoints Int. J. Comput. Vis. 60 2 2004 91 110
18. N. Dalal, and B. Triggs Histograms of oriented gradients for human detection Proc. of Computer Vision and Pattern Recognition 2005 886 893
19. T. Ojala, M. Pietik, and T. Maenpaa Multiresolution gray-scale and rotation invariant texture classification with local binary patterns IEEE Trans. Pattern Anal. Mach. Intell. 24 7 2002 971 987
20. J. Chen, S. Shan, C. He, G. Zhao, M. Pietikainen, X. Chen, and W. Gao WLD: a robust local image descriptor IEEE Trans. Pattern Anal. Mach. Intell. 32 9 2010 1705 1720
21. S. Yan, S. Shan, X. Chen, and W. Gao Locally assembled binary (LAB) feature with feature-centric cascade for fast and accurate face detection Proc. of Computer Vision and Pattern Recognition 2008
22. K. Mikolajczyk, and C. Schmid A performance evaluation of local descriptors IEEE Trans. Pattern Anal. Mach. Intell. 27 10 2005 1615 1630
23. J. Friedman, T. Hastie, and R. Tibshirani Additive logistic regression: a statistical view of boosting Ann. Stat. 28 2 2000 337 407
24. S. Yan, S. Shan, X. Chen, W. Gao, and J. Chen Matrix-Structural Learning (MSL) of cascaded classifier from enormous training set Proc. of Computer Vision and Pattern Recognition 2007
25. B. Wu, H. Ai, C. Huang, and S. Lao Fast rotation invariant multi-view face detection based on real AdaBoost Proc. of Automatic Face and Gesture Recognition 2004 79 84
26. W. Gao, B. Cao, S. Shan, X. Chen, D. Zhou, X. Zhang, and D. Zhao The CAS-PEAL large-scale Chinese face database and baseline evaluations IEEE Trans. Syst. Man Cybern. Part A Syst. Humans 38 1 2008 149 161
27. T. Sim, S. Baker, and M. Bsat The CMU pose, illumination, and expression database IEEE Trans. Pattern Anal. Mach. Intell. 25 12 2003 1615 1618
28. P.J. Phillips, P.J. Flynn, T. Scruggs, K.W. Bowyer, J. Chang, K. Hoffman, J. Marques, J. Min, and W. Worek Overview of the face recognition grand challenge Proc. of Computer Vision and Pattern Recognition 2005 947 954
29. FG-NET Aging Database http://www-prima.inrialpes.fr/FGnet/ 2002
30. T.F. Cootes, C.J. Taylor, D.H. Cooper, and J. Graham Active shape models: their training and application Comput. Vision Image Underst. 61 1 1995 38 59
31. I. Matthews, and S. Baker Active appearance models revisited Int. J. Comput. Vis. 60 2 2004 135 164
32. D. Cristinacce, and T.F. Cootes Feature detection and tracking with constrained local models Proc. of British Machine Vision Conference 2006 929 938
33. S. Milborrow, and F. Nicolls Locating facial features with an extended active shape model Proc. of European Conference on Computer Vision 2008 504 513
34. K. Kinoshita, Y. Konishi, S. Lao, and M. Kawade A fast and robust facial feature detection and 3D head pose estimation based on 3D model fitting Proc. of MIRU 2008
35. H. Kruppa, M.C. Santana, B. SchieFranz, and B. Schiele Fast and robust face finding via local context Proc. of Visual Surveillance and Performance Evaluation of Tracking and Surveillance 2003 157 164
36. A.M. Martinez, and R. Benavente The AR face database, CVC Technical Report #24 1998
37. E.B. Baillire, S. Bengio, F. Bimbot, M. Hamouz, J. Kittler, J. Marithoz, J. Matas, K. Messer, V. Popovici, F. Pore, B. Ruiz, and J. Thiran The BANCA database and evaluation protocol Proc. of Audio- and Video-Based Biometric Person Authentication 2003 625 638
38. K. Messer, J. Matas, J. Kittler, J. Luettin, and G. Maitre XM2VTSDB: the extended M2VTS database Proc. of Audio Video-based Biometric Person Authentication 1999 72 77
39. F.S. Samaria, and A.C. Harter Parameterisation of a stochastic model for human face identification Proc. of the Second IEEE Workshop on Applications of Computer Vision 1994 138 142
40. P.N. Belhumeur, J.P. Hespanha, and D.J. Kriegman Eigenfaces vs. fisherfaces: recognition using class specific linear projection IEEE Trans. Pattern Anal. Mach. Intell. 19 7 1997 711 720
41. P.J. Phillips, H. Wechsler, J. Huang, and P.J. Rauss The FERET database and evaluation procedure for face recognition algorithms Image Vision Comput. 16 5 1998 295 306
42. V. Jain, and E. Learned-Miller Online domain adaptation of a pre-trained cascade of classifiers Proc. of Computer Vision and Pattern Recognition 2011
43. V.B. Subburaman, and S. Marcel Fast bounding box estimation based face detection Proc. of European Conference on Computer Vision Workshop on Face Detection: Where we are, and what next? 2010
44. K. Mikolajczyk, C. Schmid, and A. Zisserman Human detection based on a probabilistic assembly of robust part detectors Proc. of European Conference on Computer Vision 2004 69 82
45. W. Kienzle, G. Bakir, M. Franz, and B. Scholkopf Face detection efficient and rank deficient Proc. of Neural Information Processing Systems 2005 673 680