计算机科学
自然(考古学)
可视化
电子游戏开发
游戏设计
钥匙(锁)
地形
水平设计
过程(计算)
人机交互
比例(比率)
游戏艺术设计
多媒体
人工智能
程序设计语言
地理
地图学
考古
计算机安全
作者
Tianhan Gao,Jiahui Zhu
标识
DOI:10.1109/icaiic54071.2022.9722677
摘要
The natural environment is one of the important research fields in game design and development. A good game environment is a key factor in the process of game development and player experience. Procedural Content Generation (PCG) is currently a wide range of fully automatic game environment generation technology. This paper introduces some algorithms and experimental results of PCG for natural objects (such as vegetation, river, and terrain), with special attention to the applicability and aesthetic visualization. It is found that the appearance of PCG greatly reduces the time needed to design large-scale natural landscape for game levels. Furthermore, PCG is able to adjust the natural landscape in real time to improve the overall game development efficiency.
科研通智能强力驱动
Strongly Powered by AbleSci AI