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Multi-camera photometric simulation for creation of 3d object reconstruction system

  • Silesian University of Technology
  • WSB University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationComputer Vision and Graphics - International Conference, ICCVG 2018, 2018, Proceedings
EditorsNicolai Petkov, Konrad Wojciechowski, Leszek J. Chmielewski, Ryszard Kozera, Arkadiusz Orlowski, Alfred M. Bruckstein, Konrad Wojciechowski
PublisherSpringer Verlag
Pages187-198
Number of pages12
ISBN (Print)9783030006914
DOIs
Publication statusPublished - 2018
EventInternational Conference on Computer Vision and Graphics, ICCVG 2018 - Warsaw, Poland
Duration: 17 Sept 201819 Sept 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11114 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Computer Vision and Graphics, ICCVG 2018
Country/TerritoryPoland
CityWarsaw
Period17/09/1819/09/18

Keywords

  • 3D scanner
  • Photogrammetry
  • Reconstruction 3D

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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