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

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

TOWARDS RADIOMETRICAL ALIGNMENT OF 3D POINT CLOUDS