Hree-dimensional space are offered by the principle of laser triangulation, which reaches the sub-pixel level for the detailed surface extraction; The Z-axis coordinates are provided by mobile devices (for example guide rails, turntables, and so forth.), which is often traced back for the laser interferometer, with greater precision and more precise benefits. Even so, you can find still many complications within the practical applications of this approach that need additional study. This evaluation requires the technological path and corresponding principles because the logical sequence, that is shown in Figure 3, to provide a detailed summary in the most recent development status of every single important technologies, hoping to supply support for the following researchRemote Sens. 2021, 13,5 ofideas. The rest with the paper is organized as follows: Section two discusses the methodology employed. Section three introduces the acquisition of original point cloud information, which consists of the triangulation measurement principle, point cloud filtering and decorating approaches. In Section 4, point cloud reduction techniques are presented by way of 5 subdivision kinds. Section five summarizes five sorts of point cloud registration techniques primarily based on unique principles. Meanwhile, 3 categories of 3D shape representation approaches are discussed in Section 6. The summary and conclusion with the paper, as well as future directions of this field, are given in Section 7. two. Methodology We started our paper by Triadimenol Purity & Documentation examining how 3D point cloud data are obtained through triangulation measurement and some modification algorithms for original information. We then described how the 3 categories of critical challenges in developing structured-light scanning systems are, besides these inherent at the device level and algorithmic levels. We promoted corresponding solutions and solutions on each levels but, most importantly, highlighted the at the moment unresolved problems to achieve higher precision in addition to a wider array of applications, in particular provided the limitations in complicated characteristics. All extremely cited articles, which had been adopted to characterize the development approach in the field and connected technical foundations, have been all published involving 1968 and 2015. Meanwhile, other articles describing the newest developments in technology have been all published in between 2016 and 2021. This review mostly focused on high-precision 3D reconstruction using line-structured light scanning with four most important categories of processing procedures for point cloud. We mostly searched for keywords, e.g., “3D reconstruction”, “light-section method”, “line-structured light”, “point cloud reduction”, “point cloud registration”, “3D shape representation” and also other connected words, to get relevant papers from mainstream databases including “Web of Science”, “Google Scholar”, and “CNKI”. Also, we also searched for papers utilizing the key conference repositories. The technical facts and implementation method with the algorithm might be identified in the appendix of your short article, the author’s private homepage, GitHub, open-source libraries, etc. The methods reviewed had been organized as outlined by Figure 4. Detailed introductions and comparisons of these four categories of approaches are reported in Sections four.Figure four. Structure of this evaluation about high-precision 3D reconstruction utilizing line-structured light scanning.Remote Sens. 2021, 13,Remote Sens. 2021, 13,three. Acquisition of Original Point Cloud Information three.1. Principle of Laser Triangulation Measurement3. Acquisition of Original Point Cloud Da.