International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Volume XLII-2/W3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W3, 419–424, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W3-419-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W3, 419–424, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W3-419-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

  23 Feb 2017

23 Feb 2017

TOWARDS RADIOMETRICAL ALIGNMENT OF 3D POINT CLOUDS

H. A. Lauterbach, D. Borrmann, and A. Nüchter H. A. Lauterbach et al.
  • Informatics VII – Robotics and Telematics, Julius-Maximilians University Würzburg, Germany

Keywords: Laser scanning, Color correction, Colored Pointcloud, Radiometrical Alignment

Abstract. 3D laser scanners are typically not able to collect color information. Therefore coloring is often done by projecting photos of an additional camera to the 3D scans. The capturing process is time consuming and therefore prone to changes in the environment. The appearance of the colored point cloud is mainly effected by changes of lighting conditions and corresponding camera settings. In case of panorama images these exposure variations are typically corrected by radiometrical aligning the input images to each other. In this paper we adopt existing methods for panorama optimization in order to correct the coloring of point clouds. Therefore corresponding pixels from overlapping images are selected by using geometrically closest points of the registered 3D scans and their neighboring pixels in the images. The dynamic range of images in raw format allows for correction of large exposure differences. Two experiments demonstrate the abilities of the approach.