Incremental update of linear appearance models and its application to AAM: Incremental AAM

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4633 LNCS, Issue , 2007, Pages 538-547

  Lee, Sangjae ^a   Sung, Jaewon ^a   Kim, Daijin ^a  

^a Pohang University of Science and Technology (POSTECH)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; PRINCIPAL COMPONENT ANALYSIS;

ACTIVE APPEARANCE MODELS (AAM); GAUSSIAN MIXTURES; INCREMENTAL UPDATE ALGORITHM;

MATHEMATICAL MODELS;

EID: 37849023846     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74260-9_48     Document Type: Conference Paper

References (12)

1. Cootes, T., Edwards, G., Taylor, C.: Active appearance models. IEEE Trans. on Pattern Recognition and Machine Intelligence 23, 681-685 (2001)
2. Matthews, I., Baker, S.: Active appearance models revisited. International Journal of Computer Vision 60, 135-164 (2004)
3. Blanz, V., Vetter, T.: A morphable model for the synthesis of 3d faces. In: SIGGRAPH. Computer Graphics, Annual Conference Series, pp. 187-194 (1999)
4. McKenna, S., Raja, Y., Gong, S.: Object tracking using adaptive color mixture models. In: Asian Conference on Computer Vision, pp. 615-622 (1997)
5. Jepson, A., Fleet, D., El-Maraghi, T.: Robust online appearance models for visual tracking. IEEE Trans. on Pattern Analysis and Machine Intelligence 25 (2003)
6. Zhou, S., Chellappa, R., Moghaddam, B.: Visual tracking and recognition using appearance-adaptive model in particle filter. IEEE Trans. on Image Processing 13, 1491-1506 (2004)
7. Artac, M., Jogan, M., Leonardis, A.: Incremental pea for on-line visual learning and recognition. In: International Conference on Pattern Recognition, pp. 781-784 (2002)
8. Hall, P., Marshall, D., Martin, R.: Incremental eigenanalysis for classification. In: British Machine Vision Conference (1998)
9. Li, Y.: On incremental and robust subspace learning. Pattern recognition 37, 1509 1518 (2004)
10. Baker, S., Matthews, I.: Lucas-kanade 20 years on: A unifying framework. International Journal of Computer Vision 56, 221-255 (2004)
11. Gross, R., Matthews, I., Baker, S.: Lucas-kanade 20 years on: A unifying framework: Part 3. Cmu-ri-tr-03-05, CMU (2003)
12. Kanade, T., Lucas, B.: An iterative image registration technique with an application to stereo vision. In: International Joint Conference on Artificial Intelligence, pp. 674-679 (1981)