Towards the solution of the missing persons problem by simulated reproduction of virtual characters

Proceedings - 23rd SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2010

Volumn , Issue , 2010, Pages 301-308

  Cárdenas Esguerra, Martha I ^a   Vidal, Creto A ^a   Cavalcante Neto, Joaquim Bento ^a   Cavalcante Vieira, Roberto C ^a  

^a FEDERAL UNIVERSITY OF CEARÁ   (Brazil)

Author keywords

Age progression; Aging; Missing person

Indexed keywords

AGE PROGRESSION; AGING; GENETIC CHARACTERISTICS; INTERACTIVE PROCESS; MISSING PERSON; PLAUSIBLE MODEL; SEARCH TIME; UPDATED MODEL; VIRTUAL CHARACTER;

BRIDGE DECKS; GENES; LAKES; VIRTUAL REALITY;

DATA STRUCTURES;

EID: 79952833300     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIBGRAPI.2010.47     Document Type: Conference Paper

References (19)

1. Vieira R. C. C., Vidal C. A., Cavalcante-Neto J. B., Simulation of Genetic Inheritance in the Generation of Virtual Characters In: IEEE Virtual Reality, 2010, Waltham, Massachusetts. IEEE Virtual Reality Conference 2009 (VR 2010), 2010.
2. Vieira R. C. C., Vidal C. A., Cavalcante-Neto J. B.,A Biologically Inspired Generation of Virtual Characters. 23rd Annual ACM Symposium on Applied Computing, 2008.
3. Blanz V. and Vetter T., A morphable model for the synthesis of 3D faces. 26th annual conference on Computer graphics and interactive techniques, 1999.
4. DeCarlo D., Metaxas D. and Stone M., An Anthropometric Face Model using Variational Techniques. Proceedings of 25th annual conference on Computer graphics and interactive techniques, 1998.
5. Lee W., Wu Y. and Magnenat-Thalmann N., Cloning and Aging in a VR Family. IEEE Virtual Reality Conference, 1999.
6. Ramanathan N. and Chellappa R., Modeling Age Progression in Young Faces. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2006.
7. Ramanathan N. and Chellappa R., Modeling shape and textural variations in aging adult faces. IEEE International Conference on Automatic Face and Gesture, 2008.
8. Scherbaum K., Sunkel M., Seidel H. and Blanz V., Prediction of Individual Non-Linear Aging Trajectories of Faces. EUROGRAPHICS 2007, 2007.
9. Suo J., Zhu S., Shan S. and Chen X., A Compositional and Dynamic Model for Face Aging. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010.
10. Scandrett C., Solomon C. and Gibson S., A Person-specific, rigorous aging model of the human face. ACM, Pattern Recognition Letters, 2006.
11. Albert M., Ricanek K. and Patterson E., A review of the literature on the aging adult skull and face: Implications for forensic science research and applications. Forensic Science International, 2007.
12. Fu Y. and Huang T., Human Age Estimation With Regression on Discriminative Aging Manifold. IEEE Transactions on Multimedia, 2008.
13. Hubball D., Chen M. and Grant P., Image-based Aging Using Evolutionary Computing. EUROGRAPHICS, 2008.
14. Lanitis A.,Evaluating the Performance of Face-Aging Algorithms. IEEE International Conference on Automatic Face and Gesture Recognition, 2008.
15. Lanitis A., Comparative Evaluation of Automatic Age-Progression Methodologies. EURASIP Journal on Advances in Signal Processing, 2008.
16. Gibson S., Scandrett C. and Solomon C., Computer assisted age progression. Forensic SCI Med Pathol, 2008.
17. Giraldi G. and Thomaz C., Statistical Learning Models for Automatic Age Progression, 2008.
18. Ramanathan N., Chellappa R. and Biswas S., Age progression in Human Faces: A Survey. Journal of Visual Languages and Computing (Special Issue on Advances in Multimodal Biometric Systems), 2009.
19. Starr C. and Taggart R., Biology: The unity and diversity of life, 7th ed. Belmont, California, USA. Wadsworth Publishing Company, 1995.