Journal
PATTERN RECOGNITION LETTERS
Volume 27, Issue 15, Pages 1776-1787Publisher
ELSEVIER
DOI: 10.1016/j.patrec.2006.02.007
Keywords
age progression; PCA; pose compensation
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Funding
- Engineering and Physical Sciences Research Council [GR/S98504/01, EP/D040973/1] Funding Source: researchfish
- EPSRC [EP/D040973/1] Funding Source: UKRI
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We present a statistically rigorous approach to the aging of digitised images of the human face. Our methodology is based on the calculation of optimised aging trajectories in a model space and aged images can be obtained through a fast, semi-automatic procedure. In addition, person-specific information about the subject at previous ages is included, allowing aging to proceed in the most appropriate direction in the model space. The theoretical basis is introduced and experimental results from our implementation are presented and discussed. (c) 2006 Elsevier B.V. All rights reserved.
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