CASIA OpenIR  > 模式识别国家重点实验室  > 先进数据分析与学习
Layer-Wise Floorplan Extraction for Automatic Urban Building Reconstruction
Sui, Wei; Wang, Lingfeng; Fan, Bin; Xiao, Hongfei; Wu, Huaiyu; Pan, Chunhong
Source PublicationIEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
2016-03-01
Volume22Issue:3Pages:1261-1277
SubtypeArticle
AbstractUrban building reconstruction is an important step for urban digitization and realisticvisualization. In this paper, we propose a novel automatic method to recover urban building geometry from 3D point clouds. The proposed method is suitable for buildings composed of planar polygons and aligned with the gravity direction, which are quite common in the city. Our key observation is that the building shapes are usually piecewise constant along the gravity direction and determined by several dominant shapes. Based on this observation, we formulate building reconstruction as an energy minimization problem under the Markov Random Field (MRF) framework. Specifically, point clouds are first cutinto a sequence of slices along the gravity direction. Then, floorplans are reconstructed by extracting boundaries of these slices, among which dominant floorplans are extracted and propagated to other floors via MRF. To guarantee correct propagation, a new distance measurement for floorplans is designed, which first encodes floorplans into strings and then calculates distances between their corresponding strings. Additionally, an image based editing method is also proposed to recover detailed window structures. Experimental results on both synthetic and real data sets have validated the effectiveness of our method.
Keyword3d Reconstruction 3d Modelling Image Based Modelling Point Clouds
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TVCG.2015.2505296
WOS KeywordSURFACE RECONSTRUCTION ; ENERGY MINIMIZATION ; GRAPH CUTS ; 3D ; IMAGES
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(91338202 ; joint research fund for UCAS and CAS institute(Y55201TY00) ; 61331018 ; 61403376 ; 61272049)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Software Engineering
WOS IDWOS:000370435700008
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/10762
Collection模式识别国家重点实验室_先进数据分析与学习
AffiliationChinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing, Peoples R China
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Sui, Wei,Wang, Lingfeng,Fan, Bin,et al. Layer-Wise Floorplan Extraction for Automatic Urban Building Reconstruction[J]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS,2016,22(3):1261-1277.
APA Sui, Wei,Wang, Lingfeng,Fan, Bin,Xiao, Hongfei,Wu, Huaiyu,&Pan, Chunhong.(2016).Layer-Wise Floorplan Extraction for Automatic Urban Building Reconstruction.IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS,22(3),1261-1277.
MLA Sui, Wei,et al."Layer-Wise Floorplan Extraction for Automatic Urban Building Reconstruction".IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 22.3(2016):1261-1277.
Files in This Item: Download All
File Name/Size DocType Version Access License
Layer-Wise Floorplan(2339KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Sui, Wei]'s Articles
[Wang, Lingfeng]'s Articles
[Fan, Bin]'s Articles
Baidu academic
Similar articles in Baidu academic
[Sui, Wei]'s Articles
[Wang, Lingfeng]'s Articles
[Fan, Bin]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Sui, Wei]'s Articles
[Wang, Lingfeng]'s Articles
[Fan, Bin]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Layer-Wise Floorplan Extraction for Automatic Urban Building Reconstruction.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.