The DOI matches its Crossref record.
Computer assisted age progression
Abstract
A computer assisted method for altering the perceived age of a human face is presented. Our technique is based on calculating a trajectory or axis within a multi-dimensional space that captures the changes in large scale facial structure, shading and complexion associated with aging. Fine facial details associated with increasing age, such as wrinkles, are added to the aged face using a variation on a standard image processing technique called high boost filtering. The method is successfully applied to two-dimensional photographic images exhibiting uncontrolled variations in pose and illumination. Unlike our previous work on automated age progression, here the objective is to allow a certain degree of manual control over the process by the adjustment of three key progression-control-parameters. In the future this work may form the basis for a software tool to be used by forensic artists.
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In the citing paper
“Most forensic artists use photographs of biological relatives (e.g. parents, siblings, grandparents) to improve the prediction of the current facial appearance [12,13].”
From Simulation of facial growth based on longitudinal data: Age progression and age regression between 7 and 17 years of age using 3D surface data (2019) · cites this paper as [13]
In the citing paper
“Numerous studies dealing with facial age progression have recently been published, mostly by computer vision scientists [13,43–46].”
From Simulation of facial growth based on longitudinal data: Age progression and age regression between 7 and 17 years of age using 3D surface data (2019) · cites this paper as [13]
In the citing paper
“These authors usually assess the accuracy of their algorithms based on mathematical similarity between an age-progressed image and a target individual.”
From Simulation of facial growth based on longitudinal data: Age progression and age regression between 7 and 17 years of age using 3D surface data (2019) · cites this paper as [13]
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Research works printed but not linked: 21
- Gibson SJ, Solomon CJ, Pallares Bejarano A. Synthesis of photographic quality facial composites using evolutionary algorithms. In Richard Harvey, Andrew Bangham J, editors, British Machine Vision Conference 2003, volume 1, p. 221–30, 2003. · DOI
- Frowd CD, Hancock PJB, Carson D. Evofit: a holistic, evolutionary facial imaging technique for creat ing composites. ACM Trans Appl Percept. 2004;1(1):19–39. · DOI
- Pittenger J, Shaw R. Aging faces as visual-elastic events: implications for a theory of nonrigid shape perception. Exp Psycolo Human Percept Perform. 1975;1(4):374–82. · DOI
- Pittenger J, Shaw R. Perceptual information for the age level of faces as a higher order invariant of growth. Exp Psycolo Human Percept Perform. 1979;5(3):478–93. · DOI
- Ramanathan N, Chellappa R. Modeling age progression in young faces. In Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference, volume 1, p. 387–94, June 2006. · DOI · Paper page
- Burt DM, Perrett DI. Perception of age in adult caucasian male faces: computer graphic manipulation of shape and colour information. R Soc Proc B. 1995;259:137–43. · DOI
- Hutton TJ, Buxton BF, Hammond P, Potts HWW. Estimating average growth trajectories in shape-space using kernel smoothing. IEEE Transactions on Medical Imaging, 2003. (in press). · DOI · Paper page
- Lanitis A, Taylor C, Cootes T. Toward automatic simulation of aging effects on face images. IEEE Trans Pattern Anal Mach Intell. 2002;24(4):442–55. · DOI
- Hill CM, Solomon CJ, Gibson SJ. Plausible aging of the human face using a statistical model. In Proceedings 7th International Conference on Computer Graphics and Imaging, volume 270, p. 56–9. IASTED, Acta Press, October 2004.
- Hill CM, Solomon CJ, Gibson SJ. Aging the human face -a statistically rigorous approach. In The IEE International Symposium on Imaging for Crime Detection and Prevention, p. 89–94. IEE, June 2005. · DOI
- Scandrett CM (nee Hill), Solomon CJ, Gibson SJ. Towards a semi-automatic method for the statistically rigorous aging of the human face. IEE Proc. Vision, Image & Signal Processing. (in press) 2006. · DOI
- Blanz V, Vetter T. A morphable model for the synthesis of 3d faces. In SIGGRAPH’99 Conference Proceedings. p. 187–94, 1999. · DOI
- Gandhi M. A method for automatic synthesis of aged human facial images. Master’s thesis, Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada, 2004.
- Lanitis A. Comparative evaluation of automatic age-progression methodologies. EURASIP J Advances Signal Processing, 10, 2008. · DOI
- Tiddeman BP, Perrett DI, Burt DM. A wavelet based method for prototyping and transforming the textural detail of images. Preprint available from http://psy.stand.ac.uk/people.personal/bpt/publications.html .
- Cootes T, Taylor C. Statistical models of appearance for medical image analysis and computer vision. In SPIE medical imaging, p. 236–48, 2001. · DOI
- Stegmann M. Active appearance models: theory, extensions and cases. Master’s thesis, Department of Mathematical Modelling, Technical University of Denmark, Lyngby, Denmark, 2000.
- Enlow DH, Hans MG. Essentials of facial growth. Philadelphia: W.B. Saunders Company; 1996.
- Scandrett (née Hill) CM, Solomon CJ, Gibson SJ. A person-specific, rigorous aging model of the human face. Pattern Recogn Lett. 2006;27(15):1776–87. · DOI · Paper page
- Gonzalez RC, Woods RE. Digital image processing. 2nd ed. New Jersey: Prentice Hall; 2002.
- Wang J, Ling CX. Artificial aging of faces by support vector machines. Lect Notes Comput Sci. 2004;3060:499–503. · DOI
Cited by
Sorted by citations
Koudelová, J., Hoffmannová, E., Dupej, J., & Velemínská, J. (2019) · PLOS ONE · doi:10.1371/journal.pone.0212618 · Cited by 33
Metadata
- Authors
- Gibson, S. J., Scandrett, C. M., Solomon, C. J., Maylin, M. I. S., & Wilkinson, C. M.
- Venue
- Forensic Science, Medicine, and Pathology
- Published
- 2009-08-05
- Volume
- 5
- Issue
- 3
- Pages
- 174-181
- ISSN
- 1547-769X
- 1556-2891
- Cited by
- 11
- References
- 0
- Language
- en
- Licence
- www.springer.com/tdm (tdm)
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