The role of color and contrast in facial age estimation

Hamdi Dibeklioğlu; Theo Gevers; Marcel Lucassen; Albert Ali Salah

doi:10.1007/978-3-319-11839-0_5

The role of color and contrast in facial age estimation

Hamdi Dibeklioğlu, Theo Gevers, Marcel Lucassen, Albert Ali Salah

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Computer based methods for facial age estimation can be improved by incorporating experimental findings from human psychophysics. Moreover, the latter can be used in creating systems that are not necessarily more accurate in age estimation, but strongly resemble human age estimations. In this paper we investigate the perceptual hypothesis that contrast is a useful cue for estimating age from facial appearance. Using an extensive evaluation paradigm, we establish that using a perceptual color space improves computer’s age estimation, and more importantly, using contrast-enabled features results in estimations that are more correlated to human estimations.

Original language	English
Pages (from-to)	52-61
Number of pages	10
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8749
DOIs	https://doi.org/10.1007/978-3-319-11839-0_5
Publication status	Published - 1 Jan 2014

Keywords

Age estimation
Age perception
Facial color
Facial contrast

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10.1007/978-3-319-11839-0_5

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KW - Age perception

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KW - Facial contrast

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JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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The role of color and contrast in facial age estimation

Abstract

Keywords

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