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.

中文翻译：

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不断进化的林地迷彩

迷彩在游戏中具有双重用途，赋予世界和叙事的可信度，并成为玩家用于定制的游戏资产。我们以美国林地作战服或 M81 作为图案的灵感，提出了一种使用基于当前军事评估的过程生成迷彩的系统。所提出的方法是一种遗传算法，它使用图像处理/分析技术来评估生成的纹理，并可以创建允许士兵模型与环境融合的伪装。进行了人工评估，结果表明系统使用的适应度指标是合适的替代指标。