InfoLOD and LandMark: Spatial Presentation of Attribute Information and Computing Representative Objects for Spatial Data

InfoLOD and LandMark: Spatial Presentation of Attribute Information and Computing Representative Objects for Spatial Data
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InfoLOD和LandMark:属性信息的空间呈现和空间数据的代表对象计算

DOI:
10.1142/s0218843000000053
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发表时间:
2000
期刊:
Int. J. Cooperative Inf. Syst.
影响因子:
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通讯作者:
Takahiro Matsumoto
Takahiro Matsumoto
中科院分区:
--
文献类型:
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作者:
Kengo Koiso;Takehisa Mori;H. Kawagishi;Katsumi Tanaka;Takahiro Matsumoto

文献摘要

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在本文中,我们将提出一种在三维空间中可视化空间对象的属性信息的方法以及从给定区域中的对象中提取代表性对象的计算方法。在传统的三维可视化(例如建筑模拟)中,大部分注意力都集中在空间对象的颜色、形状和纹理等图像数据上。在本研究中,我们将重点关注包括图像数据在内的空间对象的属性信息。我们提出了 InfoLOD 概念,它将细节级别 (LOD) 的概念引入属性信息以及照片和计算机图形等图像数据,用于控制属性信息在三维空间中的可视化。可视化是根据距离和方向进行控制的,我们还将讨论可视化对象之间差异的区分因素。除了可视化控制之外,我们还将提出LandMark算法,根据空间占用率和属性数据的唯一性,从给定区域中的对象中提取代表性对象。浏览的区域可以由用户手动指定,也可以通过某种算法自动指定。在这里,我们讨论空间粘合操作,该操作动态检索包含具有用户指定属性信息的对象的区域,这与 GIS(地理信息系统)中经常使用的基于静态网格的传统方法不同。我们还将介绍一些我们的实现,以说明我们的想法。
In this paper, we will propose a way of visualizing attribute information for spatial objects in the three-dimensional space and a calculation method for extracting a representative object from objects in a given region. In conventional three-dimensional visualizations such as architectural simulations, most of the attention has been paid to image data such as colors, shapes, and textures of spatial objects. In this research, we will focus on the attribute information of spatial objects including image data. We propose InfoLOD concept which introduces the notion of level of detail(LOD) to attribute information as well as image data such as photographs and computer graphics for controlling the visualization of attribute information in a three-dimensional space. The visualization is controlled based on distance and orientation, and we will also discuss the differentiation factor which visualizes the differences among the objects. In addition to visualization control, we will propose the LandMark algorithm for extracting a representative object from the objects in a given region based on their spatial occupancy ratio and the uniqueness of the attribute data. The region for browsing may be specified manually by the user or may be automatically specified by some algorithm. Here, we discuss the spatial glue operation which dynamically retrieves regions containing objects with user-specified attribute information unlike conventional method based on static mesh which are often used in GIS(Geographic Information System). We will also introduce some of our implementations in order to illustrate our ideas.