Multi-camera Photometric Simulation for Creation of 3D Object Reconstruction System

被引:1
|
作者
Sobel, Dawid [1 ]
Jedrasiak, Karol [2 ]
Nawrat, Aleksander [1 ]
机构
[1] Silesian Tech Univ, Gliwice, Poland
[2] Univ Dabrowa Gornicza, Dabrowa Gornicza, Poland
来源
关键词
Reconstruction; 3D; Photogrammetry; 3D scanner; UAV;
D O I
10.1007/978-3-030-00692-1_17
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Photogrammetry allows a three-dimensional reconstruction of the object based on its multiple photographies. The quality of the reconstruction result depends mostly on the gloss, the diversity of the texture, the lighting conditions, the quality of the camera calibration and the shape of the object. The article presents the results of a simulation of a multi-camera reconstruction system, for the needs of developing a 3D objects reconstruction system (3D scanner). The 3D reconstruction system works by simultaneously taking photographs of cameras located around the object. The simulation was created to investigate the optimal distribution of cameras and projectors casting a pattern that increases the number of characteristic points on the surface of the object. The impact of background removal in images on the reconstruction result as well as the texture quality of the object depending on the resolution and distance of the cameras from the object were also investigated. The graphic engine used to create the simulation also allows testing of various types of object lighting. The presented results prove that the parameters of the system structure, such as the placement of cameras, projectors, the selection of patterns projected by the projectors are important and their values can be determined at the stage of system simulation. Conceptual errors at the simulation stage can be removed with minimal cost and the actual system can be created on the basis of tested assumptions. The conducted research in real-world conditions of the designed 3D object reconstruction system based on simulated parameters confirms the validity of the use of simulation.
引用
收藏
页码:187 / 198
页数:12
相关论文
共 50 条
  • [1] Multi-camera 3D Object Reconstruction for Industrial Automation
    Bitzidou, Malamati
    Chrysostomou, Dimitrios
    Gasteratos, Antonios
    ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: COMPETITIVE MANUFACTURING FOR INNOVATIVE PRODUCTS AND SERVICES, AMPS 2012, PT I, 2013, 397 : 526 - 533
  • [2] A method for calibrating multi-camera systems based on sparse reconstruction of a 3D object
    Gao, Jingyuan
    Jiang, Guang
    Gao, Changtai
    MEASUREMENT, 2025, 240
  • [3] A Simple Baseline for Multi-Camera 3D Object Detection
    Zhang, Yunpeng
    Zheng, Wenzhao
    Zhu, Zheng
    Huang, Guan
    Lu, Jiwen
    Zhou, Jie
    THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 3, 2023, : 3507 - 3515
  • [4] 3D Head Reconstruction using Multi-camera Stream
    Kim, Donghoon
    Dahyot, Rozenn
    2009 13TH INTERNATIONAL MACHINE VISION AND IMAGE PROCESSING CONFERENCE, 2009, : 156 - 161
  • [5] Calibrating a multi-camera system for 3D modelling
    Wiles, C
    Davison, A
    IEEE WORKSHOP ON MULTI-VIEW MODELING & ANALYSIS OF VISUAL SCENES (MVIEW'99). PROCEEDINGS, 1999, : 29 - 36
  • [6] Multi-camera system for 3D forensic documentation
    Leipner, Anja
    Baumeister, Rilana
    Thali, Michael J.
    Braun, Marcel
    Dobler, Erika
    Ebert, Lars C.
    FORENSIC SCIENCE INTERNATIONAL, 2016, 261 : 123 - 128
  • [7] Camera calibration and 3D surface reconstruction for multi-camera semi-circular DIC system
    Hwang, Chi-Hung
    Wang, Wei-Chung
    Chen, Yung-Hsiang
    INTERNATIONAL CONFERENCE ON OPTICS IN PRECISION ENGINEERING AND NANOTECHNOLOGY (ICOPEN2013), 2013, 8769
  • [8] A Multi-Camera Network System for Markerless 3D Human Body Voxel Reconstruction
    Yang, Tao
    Zhang, Yanning
    Li, Meng
    Shao, Dapei
    Zhang, Xingong
    PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON IMAGE AND GRAPHICS (ICIG 2009), 2009, : 706 - 711
  • [9] PolarFormer: Multi-Camera 3D Object Detection with Polar Transformer
    Jiang, Yanqin
    Zhang, Li
    Miao, Zhenwei
    Zhu, Xiatian
    Gao, Jin
    Hu, Weimin
    Jiang, Yu-Gang
    THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 1, 2023, : 1042 - 1050
  • [10] 3D reconstruction of a compressible flow by synchronized multi-camera BOS
    Nicolas, F.
    Donjat, D.
    Leon, O.
    Le Besnerais, G.
    Champagnat, F.
    Micheli, F.
    EXPERIMENTS IN FLUIDS, 2017, 58 (05)