Fitting and tracking 3D/4D facial data using a temporal deformable shape model

Proceedings - IEEE International Conference on Multimedia and Expo

Volumn , Issue , 2013, Pages

  Canavan, Shaun ^a   Zhang, Xing ^a   Yin, Lijun ^a  

^a State University of New York at Binghamton   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DEFORMABLE MODELING; DEFORMABLE SHAPES; EXPRESSION ANALYSIS; FACIAL EXPRESSIONS; FACIAL FEATURE; FEATURE DETECTION AND TRACKING; SINGLE MODELS; TEXTURE INFORMATION;

DEFORMATION; EXHIBITIONS; THREE DIMENSIONAL COMPUTER GRAPHICS;

THREE DIMENSIONAL;

EID: 84885617419     PISSN: 19457871     EISSN: 1945788X     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2013.6607440     Document Type: Conference Paper

References (18)

1. Besl, P., McKay, N., A method of registration of 3d shapes. IEEE Trans. on PAMI vol. 14, pp. 239-256, 1992.
2. Blanz, V., Vetter, T., A morphable model for the synthesis of human haves. SIGGRAPH, 1999.
3. Cootes, T. Taylor, C. Cooper, D. Graham, J., Active shape models-their training and application. CVIU vol. 61 pp. 18-23, 1995.
4. Cootes, et al. Active shape models: Eval. of a multi-res. approach method for improving the image search. BMVS 1994.
5. De Bruijne et al., Adapting active shape models for 3d segmentation of tubular structures in medical images. IPMI 2003.
6. Kakadiaris, I.A., Passalis, G., Toderick, G., Murtuza, M.N., Lu, Y., Karampatzikas, N., Theoharis, T., Three-dimensional face rec. in the presence of facial expressions: An annotated deformable model approach. IEEE Trans. on PAMI 29 2007.
7. Lu, X., Jain, A., Automatic feature extraction for multiview 3d face recognition. IEEE Conf. FGR, 2006.
8. Nair, P., Cavallaro, A., 3d face detection landmark localization, and registration using a point distribution model. IEEE Trans. on Multimedia (11), 2009.
9. Ojala, T., Pietkained, M., Maenpaa, T., Multiresolution gray-scale and rotation invariant texture classification with local binary pattersn. IEEE Trans. on PAMI, vol. 24, 2002.
10. Ong, E. and Bowden, R., Robust facial feature Tracking using shape-constrained multiresolution-selected linear predictors, IEEE Trans. on PAMI, 33(9):1844-1859, 2011.
11. Perakis, P., Passalis, G., Theoharis, T., Toderici, G., Kakadaris, I., Partial matching of interpose 3d facial data for face rec. BTAS 2009.
12. Phillips, P., Flynn, P., Scruggs, T., Bowyer, K., Chang, J., Hoffman, K., Marques, J., Min, J., Worek, J., Overview of the face rec. grand challenge. IEEE CVPR 2005.
13. Sun, Y., Chen, X., Rosato, M., Yin, L., Tracking vertex flow and model adaption for 3d spatio-temporal face analysis. IEEE Trans. on SMC A vol. 40 2010.
14. Wang, J., Yin, L,. Wei, X., Sun, Y., 3d facial expression recognition based on primitive surface feature distribution. CVPR 2006.
15. Yin, L., Wei, X., Sun, Y., Wang, J., Rosato, M., A 3d facial expression database for facial behavior research. FGR 2006.
16. Yin, L., Chen, X., Sun, Y., Worm, T., Reale, M., A high-res 3d dynamic facial expression database. FGR 2008.
17. Zhang, X., Yin, L., Cohn, J, et al., A High Resolution Spontaneous 3D Dynamic Facial Expression Database. FGR 2013.
18. Zhao,. X et al., Accurate Landmarking of Three-Dimensional Facial Data in the Presence of Facial Expressions and Occlusions Using a Three-Dimensional Statistical Facial Feature Model. IEEE Trans. SMC Part B, 41(5): 1417-1428, 2011.