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Simulation of Multi-Camera Indoor and Outdoor 3D Scanner
Publication year - 2018
Publication title -
journal of engineering and science research
Language(s) - English
Resource type - Journals
ISSN - 2289-7127
DOI - 10.26666/rmp.jesr.2018.3.6
Subject(s) - computer vision , gloss (optics) , artificial intelligence , computer science , computer graphics (images) , scanner , photogrammetry , object (grammar) , texture mapping , camera resectioning , photography , 3d reconstruction , art , chemistry , organic chemistry , visual arts , coating
Photogrammetry allows a three-dimensional reconstruction of the object based on its multiple photography’s. 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 designing indoor and outdoor 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 impact of various conditions. 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. The acquired results are promising and will be further investigated.

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