3D reconstruction of architecture appearance: A survey

被引:0
|
作者
Ning, Xiaojuan [1 ]
Wang, Yinghui [1 ]
机构
[1] Institute of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China
来源
关键词
Image reconstruction - Animation - Three dimensional computer graphics - Buildings - Data handling - Virtual reality;
D O I
10.12733/jcis5807
中图分类号
学科分类号
摘要
Architecture is one of the main elements in outdoor scene of real world, and the reconstructed buildings models have wide applications in virtual reality, computer animation, urban planning and etc. In this paper, we first summarize and classify the recent methods according to different acquisition and modeling principle, discuss and compare the rule-based, image-based and point cloud based reconstruction method respectively from automation degree, input and output data. The paper evaluates the characteristics of each method including advantages and disadvantages and point out that point-based building reconstruction method will be the future research trend. Furthermore, it analyzes the issues such as data loss, mass data processing, manual interaction and visual comprehension that existed in point cloud based method, and the corresponding solutions are proposed so as to improve the integrity, real-time and practicability of the building reconstruction, and also it emphasizes the feasibility by combining the building rules and high-level semantic to reconstruct the details of building model. Finally, the challenge and future research direction are underlined based on the analysis of new progress in this field. © 2013 by Binary Information Press.
引用
收藏
页码:3837 / 3848
相关论文
共 50 条
  • [1] Survey on 3D Surface Reconstruction
    Khatamian, Alireza
    Arabnia, Hamid R.
    [J]. JOURNAL OF INFORMATION PROCESSING SYSTEMS, 2016, 12 (03): : 338 - 357
  • [2] 3D reconstruction methods, a survey
    Butime, Julius
    Gutierrez, Inigo
    Corzo, Luis Galo
    Espronceda, Carlos Flores
    [J]. VISAPP 2006: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOL 2, 2006, : 457 - +
  • [3] A digital processing architecture for 3D reconstruction
    Kolar, A.
    Graba, T.
    Pinna, A.
    Romain, O.
    Granado, B.
    Ea, T.
    [J]. 2006 INTERNATIONAL WORKSHOP ON COMPUTER ARCHITECTURE FOR MACHINE PERCEPTION AND SENSING, 2006, : 172 - +
  • [4] The survey of medical image 3D reconstruction
    Zheng, Liping
    Li, Guangyao
    Sha, jing
    [J]. FIFTH INTERNATIONAL CONFERENCE ON PHOTONICS AND IMAGING IN BIOLOGY AND MEDICINE, PTS 1 AND 2, 2007, 6534
  • [5] A Survey of Methods for 3D Histology Reconstruction
    Pichat, Jonas
    Iglesias, Juan Eugenio
    Yousry, Tarek
    Ourselin, Sebastien
    Modat, Marc
    [J]. MEDICAL IMAGE ANALYSIS, 2018, 46 : 73 - 105
  • [6] A Brief Survey: 3D Face Reconstruction
    Gao, Tianhan
    An, Hui
    [J]. ADVANCES ON BROAD-BAND WIRELESS COMPUTING, COMMUNICATION AND APPLICATIONS, 2020, 97 : 846 - 854
  • [7] Fully 3D SPECT reconstruction in a Grid architecture
    Backfrieder, W.
    Forster, M.
    Engelbrecht, G.
    Benkner, S.
    Maschek, W.
    [J]. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2005, 32 : S103 - S104
  • [8] 3D Model Tools for Architecture and Archaeology Reconstruction
    Vlad, Ioan
    Herban, Ioan Sorin
    Stoian, Mircea
    Vilceanu, Clara-Beatrice
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2015 (ICNAAM-2015), 2016, 1738
  • [9] 3D reconstruction using deep learning: a survey
    Jin, Yiwei
    Jiang, Diqiong
    Cai, Ming
    [J]. COMMUNICATIONS IN INFORMATION AND SYSTEMS, 2020, 20 (04) : 389 - 413
  • [10] 3D Face Reconstruction for Forensic Recognition - A Survey
    La Cava, Simone Maurizio
    Orru, Giulia
    Goldmann, Tomas
    Drahansky, Martin
    Marcialis, Gian Luca
    [J]. 2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2022, : 930 - 937