太阳成8722(中国)有限公司-GREEN NO.1

标题：Semantic 3D Modeling Based on CityGML for Ancient Chinese-Style Architectural Roofs of Digital Heritage

作者：Li, L (Li, Lin); Tang, L (Tang, Lei); Zhu, HH (Zhu, Haihong); Zhang, H (Zhang, Hang); Yang, F (Yang, Fan); Qin, WM (Qin, Wenmin)

来源出版物：ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION卷：6期：5 文献编号：132 DOI：10.3390/ijgi6050132 出版年：MAY 2017

摘要：Ancient Chinese-style architecture has received increased attention during the last century as a segment of cultural heritage and is of great significance, specifically in regard to the process of digitizing and modeling these buildings to preserve and protect this heritage. Because the roof form reflects the age of the structure, the structural character and the historical culture of the ancient building, constructing a refined model for the roof is a primary aspect of the 3D modeling procedure. To avoid cumbersome traditional modeling approaches that use geometry units, such as points, lines and triangles, a flexible semantic method is proposed in this study to improve modeling efficiency and reduce the professional requirements. In this method, a two-level semantic decomposition of the roof is presented according to the characteristics of ancient Chinese-style architecture. The structural level reveals the basic components that determine its structural shape, and the decorative level refers to the attached components that influence the exterior appearance. The assembly validity of the decomposed elements and the combined diversity of the integrated entities are ensured by topological constraints and derived transformations of the semantic components. This proposed method was implemented by utilizing CityGML (City Geography Markup Language) via the ADE (Application Domain Extension) mechanism and was tested by modeling the principal buildings included in the Palace Museum.

入藏号：WOS:000404525500007

文献类型：Article

语种：English

作者关键词： ancient Chinese-style architecture; roof; semantic modeling; topology; CityGML

扩展关键词： LIDAR POINT CLOUDS; BUILDING EXTRACTION; RECONSTRUCTION; SEGMENTATION; IMAGES

通讯作者地址：Li, L (reprint author), Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

Li, L (reprint author), Shenzhen Res Ctr Digital City Engn, Shenzhen 518034, Peoples R China.

Li, L (reprint author), Minist Educ, Key Lab Geog Informat Syst, Wuhan 430079, Peoples R China.

电子邮件地址：lilin@whu.edu.cn; leitang@whu.edu.cn; hhzhu@whu.edu.cn; hangzhang@whu.edu.cn; yhlx125@163.com; 2015102050003@whu.edu.cn

地址：

[Li, Lin; Tang, Lei; Zhu, Haihong; Zhang, Hang; Yang, Fan; Qin, Wenmin] Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

[Li, Lin] Shenzhen Res Ctr Digital City Engn, Shenzhen 518034, Peoples R China.

[Li, Lin] Minist Educ, Key Lab Geog Informat Syst, Wuhan 430079, Peoples R China.

研究方向：

ISSN：2220-9964

影响因子：0.371