自动生成具有独特形状的地标建筑的基于轮廓的表示

IF 4.3 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Peng Ti, Tao Xiong, Yuhong Qiu, Liying Wang, Zhilin Li
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引用次数: 0

摘要

地标性建筑是地图空间认知的显著特征。鲜明的轮廓是将地标性建筑与其周围环境区分开来的主要视觉特征。地标轮廓的自动符号化有助于识别和地图制作。由于用户通常通过街景照片中建筑物的轮廓来识别地标,本研究提出了一种自动生成地标建筑轮廓表示的方法,分为四个步骤:(1)使用GrabCut方法从街景照片中提取轮廓,(2)对提取的建筑物轮廓进行矢量化,(3)简化轮廓形状,(4)将简化后的建筑物轮廓在三维(3D)中进行符号化。我们使用所提出的方法在现实世界环境中为八座建筑物生成具有符号化轮廓的测试数据,用于寻路实验,在该实验中,受试者使用建筑物表征来识别地标建筑并评估他们对生成地图的感知。受试者根据地图上的符号化轮廓成功识别了这些建筑物,对人工生成的3D符号表示满意,并报告了使用2D或3D符号化轮廓识别建筑物的相同或相似的易用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic generation of outline-based representations of landmark buildings with distinctive shapes
Abstract Landmark buildings are salient features for spatial cognition on maps. Distinctive outlines are the major visual characteristics that separate landmark buildings from their surrounding environments. The automatic symbolization of landmark outlines facilitates recognition and map production. As users often recognize landmarks by the outlines of their façades from a street view, this study proposes an automatic method for automatically generating representations of the outlines of landmark buildings in four steps: (1) extract outlines from street-view photographs using GrabCut method, (2) vectorize the extracted building outlines, (3) simplify outline shapes, and (4) symbolize the simplified building outlines in three dimensions (3D). We used the proposed method to generate test data with symbolized outlines for eight buildings in a real-world environment for a wayfinding experiment in which the subjects used the building representations to identify landmark buildings and evaluated their perception of the generated maps. The subjects successfully recognized these buildings based on the symbolized outlines on a map, expressed satisfaction with the manually generated 3D symbols, and reported the same or similar ease of building recognition using 2D or 3D symbolized outlines.
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来源期刊
CiteScore
11.00
自引率
7.00%
发文量
81
审稿时长
9 months
期刊介绍: International Journal of Geographical Information Science provides a forum for the exchange of original ideas, approaches, methods and experiences in the rapidly growing field of geographical information science (GIScience). It is intended to interest those who research fundamental and computational issues of geographic information, as well as issues related to the design, implementation and use of geographical information for monitoring, prediction and decision making. Published research covers innovations in GIScience and novel applications of GIScience in natural resources, social systems and the built environment, as well as relevant developments in computer science, cartography, surveying, geography and engineering in both developed and developing countries.
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