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Optimizing 3D Assets and Character Modeling of the Mixed Reality Simulator in a Disaster Mitigation Learning Using Vertex Decimation and Depth-of-Field Algorithm

  • Mohamad Jamil,
  • Hadiyanto,
  • Ridwan Sanjaya

摘要

Mixed reality simulator is used as a learning simulation or training related to a disaster mitigation process. As a learning medium, mixed reality allows users to interact simultaneously with objects in a virtual environment and the actual world. One of the technical requirements in designing a mixed reality 3D model is that the assets have to be less than 22,926 triangles, and no more than 13,641 vertices per level of detail (LoD). For this reason, this study proposed a technique to optimize the assets and character modeling process using vertex decimation and depth-of-field (DoF) algorithm. In addition, the DoF algorithm aimed to get more dramatic and realistic rendering results, with a range of rendering time for each asset at 0.8–7.7 ms.