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동의어 포함
목차
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 ; 구본우 ; 진교홍 1
Abstract 1
1. 서론 1
2. 관련 연구 2
3. 제안된 LOD 생성 Framework 3
3.1. 6 방향 직교 광선(6-Direct Orthographic Ray) 3
3.2. Point Cloud Generation 5
4. 실험 및 결과 6
4.1. FBO Texture 크기에 대한 실험 6
4.2. 슬라이드 개수에 대한 실험 6
4.3. 정점 크기에 대한 실험 6
4.4. Smooth function에 대한 실험 7
4.5. 렌더링 속도에 대한 실험 7
4.6. Recall and Precision and F-Measure을 이용한 유사도 분석 9
4.7. 대규모 지형 렌더링 결과 10
5. 결론 10
References 10
| 번호 | 참고문헌 | 국회도서관 소장유무 |
|---|---|---|
| 1 | Schneider et al., “GPU-Friendly High-Quality Terrain Rendering,” 2006. | 미소장 |
| 2 | WEN, et al., Real-Time Rendering of Large Terrain on Mobile Device, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, p. 37, 2008. | 미소장 |
| 3 | Zhou et al., A Hybrid Level‐of‐Detail Representation for Large‐Scale Urban Scenes Rendering, Computer Animation and Virtual Worlds, 25(3-4), pp. 243-253, 2014. | 미소장 |
| 4 | Zienkiewicz et al., Monocular, Real-Time Surface Reconstruction using Dynamic Level of Detail, In 2016 Fourth International Conference on 3D Vision (3DV), IEEE, pp. 37-46, 2016. | 미소장 |
| 5 | Burt and Adelson, The Laplacian PYRAMID as a Compact Image Code, IEEE Transactions on Communications, 31(4), pp. 532-540, 1983. | 미소장 |
| 6 | Ghiasi and Fowlkes, Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation, In European Conference on Computer Vision, pp. 519-534, 2016. | 미소장 |
| 7 | He et al. A System for Rapid, Automatic Shader Level-of-Detail, ACM Transactions on Graphics (TOG), 34(6), p. 187, 2015. | 미소장 |
| 8 | Shreiner et al., OpenGL Programming Guide: The Official Guide to Learning OpenGL, Versions 3.0and 3.1. Pearson Education, 2009. | 미소장 |
| 9 | Rost et al., OpenGL Shading Language, Pearson Education, 2009. | 미소장 |
| 10 | Sanz-Pastor et al., Volumetric Three-Dimensional Fog Rendering Technique, U.S. Patent 6,268,861, 2001. | 미소장 |
| 11 | Decaudin and Neyret, Volumetric Billboards, In Computer Graphics Forum, Oxford, UK: Blackwell Publishing Ltd., Vol. 28, No. 8, pp. 2079-2089, December 2009. | 미소장 |
| 12 | Mantler et al., Displacement Mapped Billboard Clouds, In Proceedings of Symposium on Interactive 3D Graphics and Games, Citeseer, January 2007. | 미소장 |
| 13 | Vichitvejpaisal and Kanongchaiyos, Enhanced Billboards for Model Simplification, 2006. | 미소장 |
| 14 | Lorensen et al., Marching Cubes: A High Resolution 3D Surface Construction Algorithm, In ACM Siggraph Computer Graphics, ACM, Vol. 21, No. 4, pp. 163-169, August 1987. | 미소장 |
| 15 | Jabłoński, S. and Martyn, Real-Time Voxel Rendering Algorithm based on Screen Space Billboard Voxel Buffer with Sparse Lookup Textures, 2016. | 미소장 |
| 16 | Baert et al., Out-of-Core Construction of Sparse Voxel Octrees, In Proceedings of the 5th High-Performance Graphics Conference, ACM, pp. 27-32, July 2013. | 미소장 |
| 17 | Laine and Karras, Efficient Sparse Voxel Octrees, IEEE Transactions on Visualization and Computer Graphics, 17(8), pp. 1048-1059, 2011. | 미소장 |
| 18 | Ginsburg et al., OpenGL ES 3.0 Programming Guide, Addison-Wesley Professional, 2014. | 미소장 |
| 19 | Brothaler, OpenGL ES 2 for Android: A Quick-Start Guide, Pragmatic Bookshelf, 2013. | 미소장 |
| 20 | Linsen, Point Cloud Representation, Technical Report, Faculty of Computer Science, University of Karlsruhe: Univ., Fak. für Informatik, Bibliothek, 2001. | 미소장 |
| 21 | Zhao and Zhu, Image Parsing with Stochastic Scene Grammar, In Advances in Neural Information Processing Systems, pp. 73-81, 2011. | 미소장 |
| 22 | Zheng et al., Beyond Point Clouds: Scene Understanding by Reasoning Geometry and Physics, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3127-3134, 2013. | 미소장 |
| 23 | Yan et al., 3D Point Cloud Map Construction based on Line Segments with Two Mutually Perpendicular Laser Sensors, In 2013 13th International Conference on Control, Automation and Systems(ICCAS 2013), IEEE, pp. 1114-1116, October 2013. | 미소장 |
| 24 | Eckart et al., Accelerated Generative Models for 3D Point Cloud Data, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5497-5505, 2016. | 미소장 |
| 25 | Belton et al., Processing Tree Point Clouds using Gaussian Mixture Models, Proceedings of the ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Antalya, Turkey, pp. 11-13, 2013. | 미소장 |
| 26 | Arce and Gonzalo, Nonlinear Signal Processing: A Statistical Approach, John Wiley & Sons, 2005. | 미소장 |
| 27 | Camplani and Salgado, Efficient Spatio-Temporal Hole Filling Strategy for Kinect Depth Maps, In Three-Dimensional Image Processing(3DIP) and Applications Ii(Vol. 8290, p. 82900E), International Society for Optics and Photonics, January 2012. | 미소장 |
| 28 | Touma et al., 3D Mouse and Game Controller based on Spherical Coordinates System and System for use, U.S. Patent 7,683,883, 2010. | 미소장 |
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