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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Notes
In general fine facial details such as wrinkles or freckles do not appear in exactly the same position on the faces of two different individuals.
e.g. For a 500 pixel by 500 pixel gray-scale image the number of dimensions would be 250,000.
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We would like to thank the subjects whose faces appear in this paper and their families.
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Gibson, S.J., Scandrett, C.M., Solomon, C.J. et al. Computer assisted age progression. Forensic Sci Med Pathol 5, 174–181 (2009). https://doi.org/10.1007/s12024-009-9102-z
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DOI: https://doi.org/10.1007/s12024-009-9102-z