Literature DB >> 19655278

Computer assisted age progression.

S J Gibson1, C M Scandrett, C J Solomon, M I S Maylin, C M Wilkinson.   

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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Year:  2009        PMID: 19655278     DOI: 10.1007/s12024-009-9102-z

Source DB:  PubMed          Journal:  Forensic Sci Med Pathol        ISSN: 1547-769X            Impact factor:   2.007


  4 in total

1.  Estimating average growth trajectories in shape-space using kernel smoothing.

Authors:  Tim J Hutton; Bernard F Buxton; Peter Hammond; Henry W W Potts
Journal:  IEEE Trans Med Imaging       Date:  2003-06       Impact factor: 10.048

2.  Aging faces as viscal-elastic events: implications for a theory of nonrigid shape perception.

Authors:  J B Pittenger; R E Shaw
Journal:  J Exp Psychol Hum Percept Perform       Date:  1975-11       Impact factor: 3.332

3.  Perceptual information for the age level of faces as a higher order invariant of growth.

Authors:  J B Pittenger; R E Shaw; L S Mark
Journal:  J Exp Psychol Hum Percept Perform       Date:  1979-08       Impact factor: 3.332

4.  Perception of age in adult Caucasian male faces: computer graphic manipulation of shape and colour information.

Authors:  D M Burt; D I Perrett
Journal:  Proc Biol Sci       Date:  1995-02-22       Impact factor: 5.349

  4 in total
  1 in total

1.  Simulation of facial growth based on longitudinal data: Age progression and age regression between 7 and 17 years of age using 3D surface data.

Authors:  Jana Koudelová; Eva Hoffmannová; Ján Dupej; Jana Velemínská
Journal:  PLoS One       Date:  2019-02-22       Impact factor: 3.240

  1 in total

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