Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30172
Matching Facial Images using Age Related Morphing Changes

Authors: Udeni Jayasinghe, Anuja Dharmaratne

Abstract:

Each year many people are reported missing in most of the countries in the world owing to various reasons. Arrangements have to be made to find these people after some time. So the investigating agencies are compelled to make out these people by using manpower. But in many cases, the investigations carried out to find out an absconding for a long time may not be successful. At a time like that it may be difficult to identify these people by examining their old photographs, because their facial appearance might have changed mainly due to the natural aging process. On some occasions in forensic medicine if a dead body is found, investigations should be held to make sure that this corpse belongs to the same person disappeared some time ago. With the passage of time the face of the person might have changed and there should be a mechanism to reveal the person-s identity. In order to make this process easy, we must guess and decide as to how he will look like by now. To address this problem this paper presents a way of synthesizing a facial image with the aging effects.

Keywords: Cranio-facial growth model, eigenfaces, eigenvectors, Face Anthropometry.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1335036

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1354

References:


[1] N. Ramanathan and R. Chellappa, "Modeling age progression in young faces," in CVPR -06: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Washington, DC, USA: IEEE Computer Society, 2006, pp. 387-394.
[2] Y. H. Kwon and N. D. V. Lobo, "Age classification from facial images," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, 1999, pp. 762-767.
[3] X. Geng, Z.-H. Zhou, and K. Smith-Miles, "Automatic age estimation based on facial aging patterns," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 12, pp. 2234-2240, 2007.
[4] T. Beier and S. Neely, "Feature-based image metamorphosis," SIGGRAPH Computer. Graphics, vol. 26, no. 2, pp. 35-42, 1992.
[5] I. Pitanguy, F. Leta, D. Pamplona, and H. I. Weber, "Defining and measuring aging parameters," Appl. Math. Comput., vol. 78, no. 2-3, pp. 217-227, 1996.
[6] S. G, M. L, and R. R., "Facial aging using image warping."
[7] Internet Scientific Publications, LLC., "Anthropometric study of the facial and nasal length of adult Igbo ethnic group in Nigeria," The Internet Journal of Biological Anthropology, January 2009. (Online). Available: http://www.ispub.com/journal/the internet journal of biological anthropology/volume 2 number 2 60/article/ anthropometric study of the facial and nasal length of adult Igbo ethnic group in nigeria.html/
[8] D. Pissarenko and Smith, "Eigenface-based facial recognition," 2002.