Open AccessSurface reconstruction post-processing method for 3D- scanned objects
Author(s) -
Pablo D. Badillo,
В. А. Парфенов,
Nadezhda Shchegoleva
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2086/1/012077
Subject(s) - point cloud , 3d scanning , documentation , computer science , point (geometry) , surface (topology) , 3d reconstruction , computer vision , artificial intelligence , 3d model , cultural heritage , surface reconstruction , computer graphics (images) , laser scanning , image processing , image (mathematics) , geography , optics , mathematics , archaeology , laser , geometry , physics , programming language
3D scanning is widely used in multiple applications to obtain high precision / non-destructive documentation of real-life objects, which is especially important in Cultural Heritage (CH) preservation. However, some issues (in particular missing parts which are commonly known as “holes”) affect the accuracy of the obtained 3D model after the scanning procedure and requires time-consuming post-processing procedures, which include manual editing by highly-trained personnel. In this article an automatic method to reconstruct the obtained surface of 3D models is proposed, improving previously obtained results for high-density point clouds.