  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.
