ru
ru
Source
CVPR
YEAR OF PUBLICATION
2023
Authors
Evgeny Burnaev Ruslan Rakhimov Gleb Bobrovskikh Denis Zorin Alexey Artemov Andrei-Timotei Ardelean Aleksandr Safin Pavel Karpyshev Arseniy Bozhenko Ekaterina Karmanova Pavel Kopanev Yaroslav Labutin-Rymsho Valerii Serpiva Dzmitry Tsetserukou Oleg Voynov Saveliy Galochkin
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Multi-sensor large-scale dataset for multi-view 3D reconstruction

Abstract

We present a new multi-sensor dataset for multi-view 3D surface reconstruction. It includes registered RGB and depth data from sensors of different resolutions and modalities: smartphones, Intel RealSense, Microsoft Kinect, industrial cameras, and structured-light scanner. The scenes are selected to emphasize a diverse set of material properties challenging for existing algorithms. We provide around 1.4 million images of 107 different scenes acquired from 100 viewing directions under 14 lighting conditions. We expect our dataset will be useful for evaluation and training of 3D reconstruction algorithms and for related tasks. The dataset is available at skoltech3d.appliedai.tech.

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