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.
Highlights
Within the various applications of 3D laser scanners, a close analysis of trees gathered from 3D point cloud data has been done to compare the structures of trees using relative differences that are characterized by geometric forms to remove the trees that are constructed from point cloud data in MMS (Xin, 2014)
The regularity surrounding the planting of trees in a Japanese garden is reflected by the location of the garden and the tree species used while the scale of a garden is related to the scale of the trees used
This study focuses on the creation of 3D models of garden features by using 3D point cloud data
Summary
Within the various applications of 3D laser scanners, a close analysis of trees gathered from 3D point cloud data has been done to compare the structures of trees using relative differences that are characterized by geometric forms to remove the trees that are constructed from point cloud data in MMS (Xin, 2014). From the perspective of landscape architecture, the most important aspect of a Japanese garden is planting design because trees effectively emphasize symbolism and abstractness (Kyozo, 1984). A study involving the characteristics of landscape planting made several important statements on trees. The three components of tree size, tree number, and vegetation coverage may account for as much as 76% of the characteristics of landscape planting (Kyozo, 1984). Trees are clearly an important scenic feature in Japanese gardens. For this reason, in order to demonstrate the process for extracting features such as trees and stones from 3D point cloud data, visualizing and understanding those features in the context of a Japanese garden are important. It is reasonable to expect that a library built on the basis of 3D models would be continuously updated with landscape features
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