Host: The Institute of Image Electronics Engineers of Japan
Co-host: The Institute of Image Information and Television Engineers, Shinshu University
Name : Reports of the 286th Technical Conference of the Institute of Image Electronics Engineers of Japan
Number : 286
Location : [in Japanese]
Date : August 09, 2018 - August 10, 2018
Research that obtains 3D feature points with high repeatability from the 3D point cloud is useful for improving the precision of the shape，or for reducing the calculation amount，an d thus it can be said to be an important field. In recent years，it confirmed that the VKOP feature point extraction method， which allocates feature points at virtual positions utilizing the plane portion within the point cloud: is effective in scenes containing many artifacts. In order to further improve this repeatability，methods have been proposed in which plane equations are pre-filtered or feature points are assigned with the area of the plane as likelihood. In this paper，we proposed methods with likelihood by adopting different and combining each methods，an d compared its performance.