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

  • Silesian University of Technology
  • WSB University

Wyniki badań: Rozdział w książce/raport/materiał konferencyjnyWkład w konferencjęrecenzja

3 Cytowania z bazy Scopus

Abstrakt

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.

Język oryginałuangielski
Tytuł publikacji goszczącejComputer Vision and Graphics - International Conference, ICCVG 2018, 2018, Proceedings
RedaktorzyNicolai Petkov, Konrad Wojciechowski, Leszek J. Chmielewski, Ryszard Kozera, Arkadiusz Orlowski, Alfred M. Bruckstein, Konrad Wojciechowski
WydawcaSpringer Verlag
Strony187-198
Liczba stron12
ISBN (drukowany)9783030006914
Identyfikatory DOI
Status publikacjiOpublikowano - 2018
WydarzenieInternational Conference on Computer Vision and Graphics, ICCVG 2018 - Warsaw, Polska
Czas trwania: 17 wrz 201819 wrz 2018

Seria publikacji

NazwaLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Tom11114 LNCS
ISSN (drukowany)0302-9743
ISSN (elektroniczny)1611-3349

Konferencja

KonferencjaInternational Conference on Computer Vision and Graphics, ICCVG 2018
Kraj/TerytoriumPolska
MiejscowośćWarsaw
Okres17/09/1819/09/18

Obszary tematyczne ASJC Scopus

  • Informatyka teoretyczna
  • Informatyka ogólna

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