A two-stage approach for AAM fitting

Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008

Volumn 1, Issue , 2008, Pages 257-261

  Zhou, Mingcai ^a   Wang, Yangsheng ^a   Wang, Xiaoyan ^a   Feng, Xuetao ^a  

^a INSTITUTE OF AUTOMATION   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CONVERGENCE RATES; DEFORMABLE MODELS; DEFORMABLE OBJECT; FITTING PROCEDURE; GLOBAL SIMILARITY; LOCAL DEFORMATIONS; RIGID BODY; SHAPE PARAMETERS; TWO STAGE;

INTELLIGENT SYSTEMS; SYSTEMS ANALYSIS;

DEFORMATION;

EID: 67449138898     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDA.2008.77     Document Type: Conference Paper

References (9)

1. S. Baker, R. Gross, and I. Matthews. Lucas-kanade 20 years on: A unifying framework: Part3. Technical Report Techincal report CMU-RI-TR-03-35, Robotics Institute, Carnegie Mellon University, 2003.
2. T. Cootes, G. Edwards, and C. Taylor. Active appearance models. Proc. European Conf. Computer Vision, 2:484-489, 1998.
3. T. Cootes, G. Edwards, and C. Taylor. Active appearance models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(6):681-685, 2001.
4. G. Edwares, T. Cootes, and C. Taylor. face recognition using active appearance models. Proc. 5th european Conf. on Computer Vision, 2:581-595, 1998.
5. P. Kittipanya-ngam and T. Cootes. The effect of texture representations on aam performance. 18th International Conference on Pattern Recognition, 20(00):328-331, 2006.
6. I. Matthews and S. Baker. Active appearance models revisited. International Journal of Computer Vision, 60(2):135- 164, 2004.
7. J. Nuevo, L. Bergasa, M. Sotelo, and M. Ocana. Real-time robust face tracking for driver monitoring. IEEE Intelligent Transportation Systems Conference, (9231781):1346-1351, 2006.
8. I. Scott, T. Cootes, and C. Taylor. Improving appearance model matching using local image structure. Proc. Information Processing in Medical Imaging, pages 258-269, 2003.
9. F. Tang and B. Deng. Facial expression recognition using aam and local facial features. Third International Conference on Natural Computation, 2:632-635, 2007.