Evaluation and correction of laser-scanned point clouds

Christian Teutsch; Tobias Isenberg; Erik Trostmann; Michael Weber; Dirk Berndt; Thomas Strothotte

doi:10.1117/12.585450

17 January 2005 Evaluation and correction of laser-scanned point clouds

Christian Teutsch; Tobias Isenberg; Erik Trostmann; Michael Weber; Dirk Berndt; Thomas Strothotte

Author Affiliations +

Proceedings Volume 5665, Videometrics VIII; 56650I (2005) https://doi.org/10.1117/12.585450
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

The digitalization of real-world objects is of great importance in various application domains. E.g. in industrial processes quality assurance is very important. Geometric properties of workpieces have to be measured. Traditionally, this is done with gauges which is somewhat subjective and time-consuming. We developed a robust optical laser scanner for the digitalization of arbitrary objects, primary, industrial workpieces. As measuring principle we use triangulation with structured lighting and a multi-axis locomotor system. Measurements on the generated data leads to incorrect results if the contained error is too high. Therefore, processes for geometric inspection under non-laboratory conditions are needed that are robust in permanent use and provide high accuracy as well as high operation speed. The many existing methods for polygonal mesh optimization produce very esthetic 3D models but often require user interaction and are limited in processing speed and/or accuracy. Furthermore, operations on optimized meshes consider the entire model and pay only little attention to individual measurements. However, many measurements contribute to parts or single scans with possibly strong differences between neighboring scans being lost during mesh construction. Also, most algorithms consider unsorted point clouds although the scanned data is structured through device properties and measuring principles. We use this underlying structure to achieve high processing speeds and extract intrinsic system parameters and use them for fast pre-processing.

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Christian Teutsch, Christian Teutsch, Tobias Isenberg, Tobias Isenberg, Erik Trostmann, Erik Trostmann, Michael Weber, Michael Weber, Dirk Berndt, Dirk Berndt, Thomas Strothotte, Thomas Strothotte, } "Evaluation and correction of laser-scanned point clouds", Proc. SPIE 5665, Videometrics VIII, 56650I (17 January 2005); doi: 10.1117/12.585450; https://doi.org/10.1117/12.585450

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