Effectiveness of Camouflage Make-Up Patterns Against Face Detection Algorithms
The goal of this research was to evaluate which make-up patterns are effective in disrupting face detection algorithms. Three free or open source implementations of various face detection algorithms were selected. These were at first tested on an unaltered dataset. The dataset was then augmented with different make-up patterns. The patterns were chosen arbitrarily with the goal to disrupt the detection algorithms. The results show that the selected patterns decrease the accuracy of the face detection algorithms by about 10 %.
KeywordsFace detection Make-up camouflage Object detection Computer vision
This research work has been partly supported by the project SGS-2013-029 of the Czech Ministry of Education, Youth and Sports.
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