Detection of flaws in construction columns using 3D reconstruction and manipulation

被引:3
|
作者
Santos, J [1 ]
Longoria, LC [1 ]
Palacios, JC [1 ]
机构
[1] Inst Nacl Invest Nucl, Salazar 52045, Edo Mexico, Mexico
关键词
tomography; reconstruction algorithm; construction column; defects characterization; 3D tomography; discrete tomography;
D O I
10.1016/S0024-3795(01)00484-0
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
A methodology is proposed for the analysis of construction columns to determine structural defects such as bubbles and different types of materials in concrete as well as the diameter of the steel rods. A filtered backprojection algorithm was used to obtain a 2D density distribution assuming three different materials in the column (concrete, air and steel). An interpolation of this 2D distribution is used to obtain inter-planar voxels to construct a 3D object. This computer object can be manipulated and new projections can be generated to analyze planes that cannot be directly measured. The input data were generated by a computer simulation of the column characteristics. (C) 2001 Published by Elsevier Science Inc.
引用
收藏
页码:195 / 204
页数:10
相关论文
共 50 条
  • [41] Virtual 3D Manipulation Using Cutting Plane Lines
    Nonaka, Hidetoshi
    WMSCI 2011: 15TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL I, 2011, : 327 - 330
  • [42] Semantic 3D Reconstruction for Volumetric Modeling of Defects in Construction Sites
    Katsatos, Dimitrios
    Charalampous, Paschalis
    Schmidt, Patrick
    Kostavelis, Ioannis
    Giakoumis, Dimitrios
    Nalpantidis, Lazaros
    Tzovaras, Dimitrios
    ROBOTICS, 2024, 13 (07)
  • [43] Reconstruction of 3D Building Models Based on Architectural Construction Drawings
    Liang, Ming
    Hu, Zui
    INDUSTRIAL INSTRUMENTATION AND CONTROL SYSTEMS II, PTS 1-3, 2013, 336-338 : 1349 - 1355
  • [44] 3D DETECTION AND RECONSTRUCTION EXPERIMENTS IN RIVER BASINS.
    Palestini, C.
    Basso, A.
    8TH INTERNATIONAL WORKSHOP 3D-ARCH: 3D VIRTUAL RECONSTRUCTION AND VISUALIZATION OF COMPLEX ARCHITECTURES, 2019, 42-2 (W9): : 543 - 550
  • [45] Detection and 3D Reconstruction of Buildings from Aerial Images
    L. V. Novotortsev
    A. G. Voloboy
    Programming and Computer Software, 2019, 45 : 311 - 318
  • [46] Detection and 3D Reconstruction of Buildings from Aerial Images
    Novotortsev, L., V
    Voloboy, A. G.
    PROGRAMMING AND COMPUTER SOFTWARE, 2019, 45 (06) : 311 - 318
  • [47] Obstacle detection based on qualitative and quantitative 3D reconstruction
    State Univ of New York at Buffalo, Buffalo, United States
    IEEE Trans Pattern Anal Mach Intell, 1 (15-26):
  • [48] 3D Reconstruction for Road Scene with Obstacle Detection Feedback
    Gao, Huanbing
    Liu, Lei
    Tian, Ya
    Lu, Shouyin
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2018, 32 (12)
  • [49] Repetition detection based 3D reconstruction of detailed architectures
    Miao Y.-W.
    Feng X.-H.
    Yu L.-J.
    Chen J.-Z.
    Lee Y.-T.
    Miao, Yong-Wei (ywmiao@zjut.edu.cn), 1600, Chinese Academy of Sciences (27): : 2557 - 2573
  • [50] Obstacle detection based on qualitative and quantitative 3D reconstruction
    Zhang, ZF
    Weiss, R
    Hanson, AR
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1997, 19 (01) : 15 - 26