Evolving Woodland Camouflage

Camouflage serves a dual purpose in games, imparting believability of the world and narrative and being a game asset used by players for customization. Using the U.S. Woodland Battle Dress Uniform or M81 as an inspiration for the pattern, we present a system for generating camouflage using a process based on present military evaluations. The proposed approach is a genetic algorithm that uses image processing/analysis techniques to assess the generated texture and can create camouflage that allows the soldier model to blend with the environment. A human evaluation was conducted and shows that the fitness metric used by the system is a suitable surrogate.