Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 305-309, 2016
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B5/305/2016/
doi:10.5194/isprs-archives-XLI-B5-305-2016
 
15 Jun 2016
3D MODELING OF COMPONENTS OF A GARDEN BY USING POINT CLOUD DATA
R. Kumazakia and Y. Kunii Department of Landscape Architecture Science, Tokyo University of Agriculture, 1-1-1 Sakuragaoka, Setagaya, Tokyo, 156-8502, Japan
Keywords: Laser measurement, point cloud data, Japanese garden, landscape material, 3D model library Abstract. Laser measurement is currently applied to several tasks such as plumbing management, road investigation through mobile mapping systems, and elevation model utilization through airborne LiDAR. Effective laser measurement methods have been well-documented in civil engineering, but few attempts have been made to establish equally effective methods in landscape engineering. By using point cloud data acquired through laser measurement, the aesthetic landscaping of Japanese gardens can be enhanced. This study focuses on simple landscape simulations for pruning and rearranging trees as well as rearranging rocks, lanterns, and other garden features by using point cloud data. However, such simulations lack concreteness. Therefore, this study considers the construction of a library of garden features extracted from point cloud data. The library would serve as a resource for creating new gardens and simulating gardens prior to conducting repairs. Extracted garden features are imported as 3ds Max objects, and realistic 3D models are generated by using a material editor system. As further work toward the publication of a 3D model library, file formats for tree crowns and trunks should be adjusted. Moreover, reducing the size of created models is necessary. Models created using point cloud data are informative because simply shaped garden features such as trees are often seen in the 3D industry.
Conference paper (PDF, 2333 KB)


Citation: Kumazakia, R. and Kunii, Y.: 3D MODELING OF COMPONENTS OF A GARDEN BY USING POINT CLOUD DATA, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 305-309, doi:10.5194/isprs-archives-XLI-B5-305-2016, 2016.

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