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Low Level GPU에서 Point Cloud를 이용한 Level of detail 생성에 대한 연구

Point Cloud Data Driven Level of detail Generation in Low Level GPU Devices

  • 감정원 (창원대학교 전자공학과) ;
  • 구본우 ((주)심네트 M&S 1본부) ;
  • 진교홍 (창원대학교 전자공학과)
  • Kam, JungWon (The 1st Research and Department of Electronic Engineering, Changwon National University) ;
  • Gu, BonWoo (Department of M&S 1, SIMNET Coperation) ;
  • Jin, KyoHong (The 1st Research and Department of Electronic Engineering, Changwon National University)
  • 투고 : 2020.08.27
  • 심사 : 2020.11.13
  • 발행 : 2020.12.05

초록

Virtual world and simulation need large scale map rendering. However, rendering too many vertices is a computationally complex and time-consuming process. Some game development companies have developed 3D LOD objects for high-speed rendering based on distance between camera and 3D object. Terrain physics simulation researchers need a way to recognize the original object shape from 3D LOD objects. In this paper, we proposed simply automatic LOD framework using point cloud data (PCD). This PCD was created using a 6-direct orthographic ray. Various experiments are performed to validate the effectiveness of the proposed method. We hope the proposed automatic LOD generation framework can play an important role in game development and terrain physic simulation.