A semi-automatic methodology for facial landmark annotation

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn , Issue , 2013, Pages 896-903

  Sagonas, Christos ^a   Tzimiropoulos, Georgios ^a,b   Zafeiriou, Stefanos ^a   Pantic, Maja ^a,c  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF LINCOLN   (United Kingdom)

^c UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

Face analysis Facial point detection

Indexed keywords

FACE DATABASE; FACIAL IMAGES; FACIAL LANDMARK; FACIAL POINT DETECTIONS; MANUAL ANNOTATION; SEMI-AUTOMATIC ANNOTATION; SEMI-AUTOMATICS; TRAINING IMAGE;

EXPERIMENTS; PATTERN RECOGNITION; TOOLS;

DATABASE SYSTEMS;

EID: 84884917564     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2013.132     Document Type: Conference Paper

References (14)

1. T. F. Cootes, G. J. Edwards, and C. J. Taylor. Active appearance models. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 23(6):681-685, 2001. 1
2. T. F. Cootes, C. J. Taylor, D. H. Cooper, J. Graham, et al. Active shape models-their training and application. Computer vision and image understanding, 61(1):38-59, 1995. 1
3. D. Cristinacce and T. Cootes. Feature detection and tracking with constrained local models. In Proc. British Machine Vision Conference, volume 3, pages 929-938, 2006. 1
4. R. Gross, I. Matthews, and S. Baker. Generic vs. person specific active appearance models. Image and Vision Computing, 23(12):1080-1093, 2005. 4
5. R. Gross, I. Matthews, J. Cohn, T. Kanade, and S. Baker. Multi-pie. Image and Vision Computing, 28(5):807-813, 2010. 1, 2
6. B. Lucas, T. Kanade, et al. An iterative image registration technique with an application to stereo vision. In Proceedings of the 7th international joint conference on Artificial intelligence, 1981. 1
7. A. Martinez and R. Benavente. The ar face database. CVC Technical Report, 24, 1998. 1, 2
8. I. Matthews and S. Baker. Active appearance models revisited. International Journal of Computer Vision, 60(2):135-164, 2004. 1, 3
9. K. Messer, J. Matas, J. Kittler, J. Luettin, and G. Maitre. Xm2vtsdb: The extended m2vts database. In Second international conference on audio and video-based biometric person authentication, volume 964, pages 965-966. Citeseer, 1999. 1, 2
10. P. Phillips, P. Flynn, T. Scruggs, K. Bowyer, J. Chang, K. Hoffman, J.Marques, J. Min, andW.Worek. Overview of the face recognition grand challenge. In Computer vision and pattern recognition, 2005. CVPR 2005. IEEE computer society conference on, volume 1, pages 947-954. IEEE, 2005. 1, 2
11. E. U. projects: UFACE and FGNET. Xm2vts 68pt markup. 2
12. J. M. Saragih, S. Lucey, and J. F. Cohn. Deformable model fitting by regularized landmark mean-shift. International Journal of Computer Vision, 91(2):200-215, 2011. 1
13. G. Tzimiropoulos, J. A. i medina, S. Zafeiriou, and M. Pantic. Generic active appearance models revisited. In 11th Asian Conference on Computer Vision (ACCV 2012), pages 650-663, Daejeon, Korea, November 2012. 1
14. X. Zhu and D. Ramanan. Face detection, pose estimation, and landmark localization in the wild. In Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, pages 2879-2886. IEEE, 2012. 1, 4