Kil, Yong JooMederos, BorisAmenta, NinaMario Botsch and Baoquan Chen and Mark Pauly and Matthias Zwicker2014-01-292014-01-2920063-905673-32-01811-7813https://doi.org/10.2312/SPBG/SPBG06/009-015We give a method for improving the resolution of surfaces captured with a laser range scanner by combining many very similar scans. This idea is an application of the 2D image processing technique known as superresolution. The input lower-resolution scans are each randomly shifted, so that each one contributes slightly different information to the final model. Noise is reduced by averaging the input scans.Categories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Surface AcquisitionLaser Scanner Super-resolution