Consistency constraints and 3D building reconstruction

被引:20
|
作者
Horna, S. [1 ]
Meneveaux, D. [1 ]
Damiand, G. [2 ]
Bertrand, Y. [1 ]
机构
[1] Univ Poitiers, CNRS, XLIM SIC, UMR6172, F-86962 Poitiers, France
[2] Univ Lyon 1, LIRIS, CNRS, UMR5205, F-69622 Villeurbanne, France
关键词
3D modeling; Architecture; Indoor building; Reconstruction; Topological model; G-maps; IMAGES; MODELS;
D O I
10.1016/j.cad.2008.11.006
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Virtual architectural (indoor) scenes are often modeled in 3D for various types of simulation systems. For instance, some authors propose methods dedicated to lighting, heat transfer, acoustic or radio-wave propagation simulations. These methods rely in most cases on a volumetric representation of the environment, with adjacency and incidence relationships. Unfortunately, many buildings data are only given by 2D plans and the 3D needs varies from one application to another. To face these problems, we propose a formal representation of consistency constraints dedicated to building interiors and associated with a topological model. We show that such a representation can be used for: (i) reconstructing 3D models from 2D architectural plans (ii) detecting automatically geometrical, topological and semantical inconsistencies (iii) designing automatic and semi-automatic operations to correct and enrich a 2D plan. All our constraints are homogeneously defined in 2D and 3D, implemented with generalized maps and used in modeling operations. We explain how this model can be successfully used for lighting and radio-wave propagation Simulations. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:13 / 27
页数:15
相关论文
共 50 条
  • [1] Inferring and enforcing geometrical constraints on a 3D model for building reconstruction
    Taillandier, F
    [J]. IMAGE ANALYSIS, PROCEEDINGS, 2005, 3540 : 699 - 708
  • [2] A technique for 3D building reconstruction
    Kim, T
    Muller, JP
    [J]. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 1998, 64 (09): : 923 - 930
  • [3] Automatic 3D building reconstruction
    Suveg, I
    Vosselman, G
    [J]. THREE-DIMENSIONAL IMAGE CAPTURE AND APPLICATIONS V, 2002, 4661 : 59 - 69
  • [4] 3D reconstruction of building structures incorporating neural radiation fields and geometric constraints
    Cui, Depeng
    Wang, Weidong
    Hu, Wenbo
    Peng, Jun
    Zhao, Yida
    Zhang, Yukun
    Wang, Jin
    [J]. AUTOMATION IN CONSTRUCTION, 2024, 165
  • [5] Dense 3D reconstruction from specularity consistency
    Nehab, Diego
    Weyrich, Tim
    Rusinkiewicz, Szymon
    [J]. 2008 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-12, 2008, : 2657 - 2664
  • [6] An update on automatic 3D building reconstruction
    Haala, Norbert
    Kada, Martin
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2010, 65 (06) : 570 - 580
  • [7] Stereo Matching for 3D Building Reconstruction
    Gupta, Gaurav
    Balasubramanian, R.
    Rawat, M. S.
    Bhargava, R.
    Krishna, B. Gopala
    [J]. ADVANCES IN COMPUTING, COMMUNICATION AND CONTROL, 2011, 125 : 522 - +
  • [8] Monocular 3D Face Reconstruction with Joint 2D and 3D Constraints
    Cui, Huili
    Yang, Jing
    Lai, Yu-Kun
    Li, Kun
    [J]. ARTIFICIAL INTELLIGENCE, CICAI 2022, PT I, 2022, 13604 : 129 - 141
  • [9] ACCURATE 3D RECONSTRUCTION VIA SURFACE-CONSISTENCY
    Wu, Chenglei
    Cao, Xun
    Dai, Qionghai
    [J]. 2009 3DTV-CONFERENCE: THE TRUE VISION - CAPTURE, TRANSMISSION AND DISPLAY OF 3D VIDEO, 2009, : 49 - +
  • [10] 3D reconstruction using spatial orthogonal constraints
    Tian, DP
    Shu, Y
    Tan, Z
    [J]. 2004 8TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION, VOLS 1-3, 2004, : 1092 - 1097