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This evaluation examined the effects of four
frontal light intensities on the performance of a 3D
face recognition algorithm, specifically testing the
significance between an unchanging enrollment
illumination condition (220-225 lux) and four
different illumination levels for verification. The
evaluation also analyzed the significance of external
artifacts (i.e. glasses) and personal characteristics
(i.e. facial hair) on the performance of the face
recognition system (FRS).
Collected variables from the volunteer crew
included age, gender, ethnicity, facial
characteristics, hair covering the forehead, scars on
the face, and glasses.
The analysis of data revealed that there are no
statistically significant differences between
environmental lighting and 3D FRS performance
when a uniform or constant enrollment illumination
level is used.