Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W8, 111-117, 2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
13 Nov 2017
H. Houshiar and S. Winkler DenkmalDaten Winkler KG, Eulerstraße 7, 48155 Münster, Germany
Keywords: Automatic Density, Pointo, CAD, Low Cost, Octree, Point cloud Processing Abstract. With advance in technology access to data especially 3D point cloud data becomes more and more an everyday task. 3D point clouds are usually captured with very expensive tools such as 3D laser scanners or very time consuming methods such as photogrammetry. Most of the available softwares for 3D point cloud processing are designed for experts and specialists in this field and are usually very large software packages containing variety of methods and tools. This results in softwares that are usually very expensive to acquire and also very difficult to use. Difficulty of use is caused by complicated user interfaces that is required to accommodate a large list of features. The aim of these complex softwares is to provide a powerful tool for a specific group of specialist. However they are not necessary required by the majority of the up coming average users of point clouds. In addition to complexity and high costs of these softwares they generally rely on expensive and modern hardware and only compatible with one specific operating system. Many point cloud customers are not point cloud processing experts or willing to spend the high acquisition costs of these expensive softwares and hardwares. In this paper we introduce a solution for low cost point cloud processing. Our approach is designed to accommodate the needs of the average point cloud user. To reduce the cost and complexity of software our approach focuses on one functionality at a time in contrast with most available softwares and tools that aim to solve as many problems as possible at the same time. Our simple and user oriented design improve the user experience and empower us to optimize our methods for creation of an efficient software. In this paper we introduce Pointo family as a series of connected softwares to provide easy to use tools with simple design for different point cloud processing requirements. PointoVIEWER and PointoCAD are introduced as the first components of the Pointo family to provide a fast and efficient visualization with the ability to add annotation and documentation to the point clouds.
Conference paper (PDF, 1702 KB)

Citation: Houshiar, H. and Winkler, S.: POINTO - A LOW COST SOLUTION TO POINT CLOUD PROCESSING, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W8, 111-117,, 2017.

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