Design and Evaluation of Facial Camouflage Pattern

Face camouflage is an important part of a soldier's camouflage, which can effectively reduce the probability of being identified by the enemy and improve the survival rate of the personnel. In this paper, the colors of typical background are clustered by K-means clustering algorithm, and the facial contour features of human face are analyzed. The automatic design of facial camouflage pattern is realized by Mat lab programming on the facial base map, which conforms to the design principles of camouflage. The experiment results showed that the design of facial camouflage had a good camouflage effect.