A Simple Image Acquisition System and Its Calibration for Image-Based 3D Reconstruction

被引:1
|
作者
Wang, Xiaoming [1 ]
Shi, Limin [2 ]
Xu, Huarong [3 ]
机构
[1] Shandong Jiaotong Univ, Dept Math & Phys, Jinan 250300, Shandong, Peoples R China
[2] Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
[3] Xiamen Univ Technol, Dept Comp Sci & Technol, Xiamen 361024, Fujian, Peoples R China
关键词
Camera calibration; Image-based 3D reconstruction;
D O I
10.1145/3301506.3301543
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper presents a simple image acquisition system composed of multiple cameras and a turntable, through which object's multiple-view images can be acquired and calibrated automatically. The main contribution of this paper is proposing a calibration algorithm for this system which using a simple calibration equipment to calibrate the cameras' intrinsic and their extrinsic relate to the center of turntable, and with these system parameters, all the acquired multi-view images can be easily calibrated. Combined with MVS, mesh generation and texture mapping algorithms, complete texture model can be automatically reconstructed from the calibrated images. The calibration and reconstruction examples based on the system are given in the end of the paper. The experimental results show the presented system with our calibration algorithm has high reconstruction accuracy, and can be used for many reconstruction applications.
引用
收藏
页码:103 / 107
页数:5
相关论文
共 50 条
  • [1] Image-based Fast 3D Reconstruction
    Xia, Jianjun
    Wang, Fei
    Zheng, Xiaocui
    PROCEEDINGS OF THE 2016 5TH INTERNATIONAL CONFERENCE ON MEASUREMENT, INSTRUMENTATION AND AUTOMATION (ICMIA 2016), 2016, 138 : 817 - 820
  • [2] A Survey of Image-based 3D Reconstruction
    Fu, Xinfang
    Li, Yueqiang
    PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON MECHANICAL, ELECTRONIC, CONTROL AND AUTOMATION ENGINEERING (MECAE 2017), 2017, 61 : 180 - 183
  • [3] IMAGE-BASED 3D RECONSTRUCTION AND ANALYSIS FOR ORTHODONTIA
    Knyaz, V. A.
    XXII ISPRS CONGRESS, TECHNICAL COMMISSION III, 2012, 39-B3 : 585 - 589
  • [4] Overview of image-based 3D reconstruction technology
    Niu, Yuandong
    Liu, Limin
    Huang, Fuyu
    Huang, Siyuan
    Chen, Shuangyou
    JOURNAL OF THE EUROPEAN OPTICAL SOCIETY-RAPID PUBLICATIONS, 2024, 20 (01):
  • [5] High Speed Image Acquisition System for 3D Reconstruction
    Hu, Yanlang
    Li, Ying
    Zhang, Yanning
    Zhou, Quan
    Liu, Juanni
    Wei, Jiayuan
    ELEVENTH INTERNATIONAL CONFERENCE ON GRAPHICS AND IMAGE PROCESSING (ICGIP 2019), 2020, 11373
  • [6] Experiences in Image-Based 3D Reconstruction of Underwater Environments
    Cesar, Vinicius
    Farias, Thiago
    Bueno, Marcio
    Kelner, Judith
    2013 SYMPOSIUM ON COMPUTING AND AUTOMATION FOR OFFSHORE SHIPBUILDING (NAVCOMP 2013), 2013, : 69 - 74
  • [7] A New Metric for Measuring Image-based 3D Reconstruction
    Zhao, Xu
    Wu, Rui
    Zhou, Zhong
    Wu, Wei
    2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012), 2012, : 1030 - 1033
  • [8] Image-based 3D reconstruction for rail profile measurement
    Zhang, Dongyu
    Lingamanaik, Siva N.
    Chung, Hoam
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT, 2023, 237 (03) : 309 - 321
  • [9] An efficient image-based 3D reconstruction algorithm for plants
    Pan, ZG
    Hu, WX
    Gu, XY
    Zhao, CJ
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2004, PT 2, 2004, 3044 : 751 - 760
  • [10] An efficient image-based 3D reconstruction algorithm for plants
    Hu, WX
    Pan, ZG
    Guo, XY
    Zhao, CJ
    CAD/ GRAPHICS TECHNOLOGY AND ITS APPLICATIONS, PROCEEDINGS, 2003, : 418 - 419