Real-time scene reconstruction and triangle mesh generation using multiple RGB-D cameras

We present a novel 3D reconstruction system that can generate a stable triangle mesh using data from multiple RGB-D sensors in real time for dynamic scenes. The first part of the system uses moving least squares (MLS) point set surfaces to smooth and filter point clouds acquired from RGB-D sensors....

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Bibliographic Details
Published in:	Journal of Real-Time Image Processing Vol. 16; no. 6; pp. 2247 - 2259
Main Authors:	Meerits, Siim, Nozick, Vincent, Saito, Hideo
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Science and Business Media LLC 01.12.2019 Springer Berlin Heidelberg Springer Nature B.V Springer Verlag
Subjects:	3D reconstruction [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR] [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] Algorithms Cameras Computer Graphics Computer Science Computer Vision and Pattern Recognition Geometry GPU Graphics Image Processing Image Processing and Computer Vision Mesh generation mesh zippering meshing Methods Multimedia Information Systems Original Research Paper Pattern Recognition Real time Reconstruction RGB-D cameras Sensors Signal,Image and Speech Processing 3D reconstruction Mesh zippering Meshing GPU RGB-D cameras mesh zippering meshing
ISSN:	1861-8200, 1861-8219
Online Access:	Get full text
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