An effective method for merging point-cloud model

Abstract

LIDAR is applied in a variety fields as a reverse engineering technology, such as factory, cultural heritage protection and Digital City Modeling etc. Point cloud pre-processing has been a research hotspot in recent years, one of the factors restricts its application is merging point-cloud which affects the quality of data very much. In this paper, an effect method is proposed to merge point cloud with different point views to one single point cloud model to represent the real objects. In this method, a base point-cloud model is selected and other models are subtracted according to the missing data of base model, precise alignment is made to smooth the patched point cloud. The method will merge the different point cloud views effectively and reduce the redundant data, thus it will be effect for the following processing. It's proved to be a good method for merging huge point-cloud.