Alternativa para geração procedural de mapas de altura utilizando os algoritmos passeio aleatório e agregação limitada por difusão

Abstract

Procedural generations play a crucial role in the development of games, animations, architectural projects, and computerized scenes in films. These technologies are employed to achieve significant reductions in project time and costs. Additionally, the Perlin Noise algorithm, a key reference for height map creation, faces didactic and developmental challenges due to its high complexity. In this context, the present research proposes an innovative alternative for procedural height map generation using two pioneering algorithms: Random Walk and Limited Diffusion Aggregation. Through a game engine, procedurally generated height maps are converted into three-dimensional virtual terrains. These terrains have achieved a public acceptance rate of up to 97.86%, thus presenting an aesthetic similar to that observed in nature.