Zhenzhen Gao
ABSTRACT
This paper presents a visualization framework for cities in the form of aerial LiDAR (Light Detection and Ranging) point clouds. To provide interactive rendering for large data sets, the framework combines level-of-detail (LOD) technique with hierarchical hybrid representations of both point and polygon of the scene. The supporting structure for LOD is a multi-resolution quadtree (MRQ) hierarchy that is built purely out of input points. Each MRQ node stores separately a continuous data set for ground and building points that are sampled from continuous surfaces, and a discrete data set for independent tree points. The continuous data is first augmented with vertical quadrilateral building walls that are missing in original points owing to the 2.5D nature of aerial LiDAR. The continuous data is then spatially partitioned into same size subsets, based on which hybrid point-polygon structures are hierarchically constructed. Specifically, a polygon conversion operation replaces points of a subset forming a planar surface to a quadrilateral covering the same space, and a polygon simplification operation decimates wall quadrilaterals of a subset sharing the same plane to a single compact quadrilateral. Interactive hybrid visualization is retained by adapting a hardware-accelerated point based rendering with deferred shading. We perform experiments on several aerial LiDAR cities. Compared to visually-complete rendering [10], the presented framework is able to deliver comparable visual quality with less than 8% increase in pre-processing time and 2-5 times higher rendering frame-rates.
- M. Botsch, A. Hornung, M. Zwicker, and L. Kobbelt. High-quality surface splatting on today's GPUs. In Symposium on Point-Based Graphics 2005, pages 17--24, June 2005. Google Scholar
Digital Library
- S. P. Callahan, J. L. D. Comba, P. Shirley, and C. T. Silva. Interactive rendering of large unstructured grids using dynamic level-of-detail. In IEEE Visualization, pages 199--206. IEEE Computer Society, 2005.Google Scholar
- A. Certain, J. Popovic, T. DeRose, T. Duchamp, D. Salesin, and W. Stuetzle. Interactive multiresolution surface viewing. In Proceedings of the 23rd Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH '96, pages 91--98, 1996. Google ScholarDigital Library
- B. Chen and M. X. Nguyen. POP: A hybrid point and polygon rendering system for large data. In Proceedings of the Conference on Visualization '01, VIS '01, pages 45--52, Washington, DC, USA, 2001. IEEE Computer Society. Google ScholarDigital Library
- L. Coconu and H.-C. Hege. Hardware-accelerated point-based rendering of complex scenes. In Proceedings of the 13th Eurographics Workshop on Rendering, EGRW '02, pages 43--52, Aire-la-Ville, Switzerland, Switzerland, 2002. Eurographics Association. Google ScholarDigital Library
- J. D. Cohen, D. G. Aliaga, and W. Zhang. Hybrid simplification: Combining multi-resolution polygon and point rendering. In T. Ertl, K. I. Joy, and A. Varshney, editors, IEEE Visualization, pages 37--539. IEEE Computer Society, 2001. Google ScholarDigital Library
- C. Dachsbacher, C. Vogelgsang, and M. Stamminger. Sequential point trees. In ACM SIGGRAPH 2003 Papers, SIGGRAPH '03, pages 657--662, New York, NY, USA, 2003. ACM. Google ScholarDigital Library
- T. K. Dey and J. Hudson. PMR: Point to mesh rendering, a feature-based approach. In IEEE Visualization, pages 155--162, 2002. Google ScholarDigital Library
- M. A. Fischler and R. C. Bolles. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM, 24(6):381--395, June 1981. Google ScholarDigital Library
- Z. Gao, L. Nocera, and U. Neumann. Visually-complete aerial LiDAR point cloud rendering. In Proceedings of the 20th International Conference on Advances in Geographic Information Systems, SIGSPATIAL '12, pages 289--298, New York, NY, USA, 2012. ACM. Google ScholarDigital Library
- P. Goswami, F. Erol, R. Mukhi, R. Pajarola, and E. Gobbetti. An efficient multi-resolution framework for high quality interactive rendering of massive point clouds using multi-way kd-trees. The Visual Computer, 29(1):69--83, 2013.Google ScholarCross Ref
- G. Guennebaud, L. Barthe, and M. Paulin. Splat/mesh blending, perspective rasterization and transparency for point-based rendering. In SPBG, pages 49--57. Eurographics Association, 2006. Google ScholarDigital Library
- A. Hao, G. Tian, Q. Zhao, and Z. Li. An accelerating rendering method of hybrid point and polygon for complex three-dimensional models. In ICAT, volume 4282 of Lecture Notes in Computer Science, pages 889--900. Springer, 2006. Google ScholarDigital Library
- B. Kovač and B. Žalik. Visualization of LiDAR datasets using point-based rendering technique. Computers & Geosciences, 36(11):1443--1450, Nov. 2010. Google ScholarDigital Library
- M. Kuder, M. Šterk, and B. Žalik. Point-based rendering optimization with textured meshes for fast LiDAR visualization. Computers & Geosciences, 59(0):181--190, 2013. Google ScholarDigital Library
- M. Kuder and B. Žalik. Web-based LiDAR visualization with point-based rendering. In Proceedings of the 2011 Seventh International Conference on Signal Image Technology & Internet-Based Systems, SITIS '11, pages 38--45, Washington, DC, USA, 2011. IEEE Computer Society. Google ScholarDigital Library
- F. Lafarge and C. Mallet. Modeling urban landscapes from point clouds: a generic approach. Technical Report RR-7612, INRIA, May 2011.Google Scholar
- P. Lindstrom and V. Pascucci. Visualization of large terrains made easy. In IEEE Visualization, 2001., pages 363--574, 2001. Google ScholarDigital Library
- T. Ochotta and S. Hiller. Hardware rendering of 3D geometry with elevation maps. Shape Modeling and Applications, International Conference on, 0:1--10, 2006. Google ScholarDigital Library
- T. Ochotta, S. Hiller, and D. Saupe. Single-pass High-quality Splatting. Konstanzer Schriften in Mathematik und Informatik. Fachbereich für Mathematik und Statistik, 2006.Google Scholar
- R. Pajarola. Overview of Quadtree-based Terrain Triangulation and Visualization. Technical report (University of California, Irvine. Dept. of Information and Computer Science). Department of Information & Computer Science, University of California, Irvine, 2002.Google Scholar
- R. Pajarola. Efficient level-of-details for point based rendering. In Computer Graphics and Imaging, pages 141--146. IASTED/ACTA Press, 2003.Google Scholar
- E. Paredes, M. Bóo, M. Amor, J. Bruguera, and J. Döllner. Extended hybrid meshing algorithm for multiresolution terrain models. International Journal of Geographical Information Science, 26(5):771--793, 2012. Google ScholarDigital Library
- P. Rosenthal and L. Linsen. Image-space point cloud rendering. In Proceedings of Computer Graphics International, pages 136--143, 2008.Google Scholar
- S. Rusinkiewicz and M. Levoy. QSplat: A multiresolution point rendering system for large meshes. In Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH '00, pages 343--352, New York, NY, USA, 2000. ACM Press/Addison-Wesley Publishing Co. Google ScholarDigital Library
- R. Schnabel and R. Klein. Octree-based point-cloud compression. In SPBG, pages 111--120. Eurographics Association, 2006. Google ScholarDigital Library
- R. Wahl, M. Guthe, and R. Klein. Identifying planes in point-clouds for efficient hybrid rendering. In The 13th Pacific Conference on Computer Graphics and Applications, pages 1--8, Oct. 2005.Google Scholar
- M. Wand, M. Fischer, I. Peter, F. M. auf der Heide, and W. Straer. The randomized z-buffer algorithm: interactive rendering of highly complex scenes. In SIGGRAPH, pages 361--370, 2001. Google ScholarDigital Library
- W. Zheng, H. Sun, H. Bao, and Q. Peng. Rendering of virtual environments based on polygonal & point-based models. In Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST '02, pages 25--32, New York, NY, USA, 2002. ACM. Google ScholarDigital Library
- J. Zhou and Q. Ruan. Adaptive hierarchical representation of a point-sampled 3d model for fast rendering. In Signal Processing, 2006 8th International Conference on, volume 2, 2006.Google ScholarCross Ref
- Q. Zhou and U. Neumann. 2.5D dual contouring: A robust approach to creating building models from aerial LiDAR point clouds. In Computer Vision - ECCV 2010, 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5--11, 2010, Proceedings, Part III, volume 6313 of Lecture Notes in Computer Science, pages 115--128. Springer, 2010. Google ScholarDigital Library
Index Terms
- Visualizing aerial LiDAR cities with hierarchical hybrid point-polygon structures
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