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Scene Adaptive Structured Light 3D Imaging (CROSBI ID 696647)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Pribanić, Tomislav ; Petković, Tomislav ; Bojanić, David ; Bartol, Kristijan ; Gupta, Mohit Scene Adaptive Structured Light 3D Imaging // Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - (Volume 4) / Farinella, Giovanni Maria ; Radeva, Petia ; Braz, Jose (ur.). SCITEPRESS, 2020. str. 576-582 doi: 10.5220/0009189905760582

Podaci o odgovornosti

Pribanić, Tomislav ; Petković, Tomislav ; Bojanić, David ; Bartol, Kristijan ; Gupta, Mohit

engleski

Scene Adaptive Structured Light 3D Imaging

A 3D structured light (SL) system is one powerful 3D imaging alternative which in the simplest case is composed of a single camera and a single projector. The performance of 3D SL system has been studied considering many aspects, for example, accuracy and precision, robustness to various imaging factors, applicability to a dynamic scene capture, hardware and image processing complexity, to name but a few. In this work we consider the spatial projector-camera set up and its influence on the uncertainty of points’ depth reconstruction. In particular, we show how a depth precision is in a great extent determined by the angle of pattern projection and the angle of imaging from a projector and a camera, respectively. For a fixed camera projector configuration, those angles are scene dependent for various points in space. Consequently, the attainable depth precision will typically vary considerably across the volume of reconstruction which is not a desirable property. To that end, we study a scene dependent 3D imaging approach during which we propose how to conveniently detect points with a lower depth precision and to influence other factors of a depth precision, in order to improve a depth precision in scene parts where necessary.

3D Imaging ; Structured Light ; Time-of-Flight ; Depth Precision

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Podaci o prilogu

576-582.

2020.

objavljeno

10.5220/0009189905760582

Podaci o matičnoj publikaciji

Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - (Volume 4)

Farinella, Giovanni Maria ; Radeva, Petia ; Braz, Jose

SCITEPRESS

978-989-758-402-2

Podaci o skupu

15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020)

poster

27.02.2020-29.02.2020

Valletta, Malta

Povezanost rada

Računarstvo

Poveznice