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    Simulation of Mechanical Weathering for Modeling Rocky Terrains
    (The Eurographics Association, 2024) Mateos, Diego; Carranza, Luis; Susin, Anton; Argudo, Oscar; Marco, Julio; Patow, Gustavo
    Synthetic terrains play a vital role in various applications, including entertainment, training, and simulation. This work focuses on rocky terrains akin to those found in alpine environments, which contain many complex features such as sharp ridges, loose blocks, or overhangs that are often inadequately represented by standard 2D elevation maps. We propose a novel method based on a simplified simulation of mechanical erosion processes commonly observed in high-altitude terrains, in particular the weathering due to freeze-thaw cycles. The ultimate objective is to generate plausible rocky geometry from existing 3D models, as well as account for the temporal evolution due to these weathering processes. Additionally, we have developed an artist-friendly tool integrated as an add-on into Blender.
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    CEIG 2025: Frontmatter
    (The Eurographics Association, 2025) Argudo, Oscar; Iparraguirre, Olatz; Argudo, Oscar; Iparraguirre, Olatz
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    Semantic navigation meshes for complex outdoor terrains
    (The Eurographics Association, 2025) Creus, Carles; Argudo, Oscar; Pelechano, Nuria; Argudo, Oscar; Iparraguirre, Olatz
    Traditional navigation meshes are typically based on splitting the terrain into connected convex regions representing walkable cells. This works well for almost flat terrains where obstacles are clearly defined by walls or holes. When applied to complex outdoor environments with many changes in terrain height and slope, traditional approaches fail to correctly identify the walkable areas. Current navigation meshes require the user to specify the character's maximum step size and slope, and then classify the environment as walkable or non-walkable, thus limiting the flexibility to adjust paths to the agents' characteristics. Even if some terrain properties are then computed to add semantics to the navigation mesh, many cells could cover a wide range of values, as this information was ignored during its generation. In this paper, we present a novel approach to generate semantic navigation meshes, where the generated cells have a coherent and low-variance range of values for the chosen semantics (e.g., slope). Cell generation is performed with a semantic partitioning based on a region-growing algorithm. Our navigation mesh allows us to preserve the full complexity of the terrain without forcing a binary decision between walkable and non-walkable and provides useful semantics for the pathfinding algorithm.