International Conference Image Analysis and Recognition

ICIAR 2016: Image Analysis and Recognition pp 333-340

Effectiveness of Camouflage Make-Up Patterns Against Face Detection Algorithms

Conference paper

DOI: 10.1007/978-3-319-41501-7_38

Volume 9730 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Frič V. (2016) Effectiveness of Camouflage Make-Up Patterns Against Face Detection Algorithms. In: Campilho A., Karray F. (eds) Image Analysis and Recognition. ICIAR 2016. Lecture Notes in Computer Science, vol 9730. Springer, Cham

Abstract

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 %.

Keywords

Face detectionMake-up camouflageObject detectionComputer vision

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of Computer Science and Engineering, Faculty of Applied SciencesUniversity of West BohemiaPlzeňCzech Republic