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3D point clouds, acquired by state-of-the-art terrestrial laser scanning techniques (TLS), provide spatial information about accuracies up\udto several millimetres. Unfortunately, common TLS data has no spectral information about the covered scene. However, the matching\udof TLS data with images is important for monoplotting purposes and point cloud colouration. Well-established methods solve this\udissue by matching of close range images and point cloud data by fitting optical camera systems on top of laser scanners or rather using\udground control points.\ud  \udThe approach addressed in this paper aims for the matching of 2D image and 3D point cloud data from a freely moving camera within\udan environment covered by a large 3D point cloud, e.g. a 3D city model. The key advantage of the free movement affects augmented\udreality applications or real time measurements. Therefore, a so-called real image, captured by a smartphone camera, has to be matched\udwith a so-called synthetic image which consists of reverse projected 3D point cloud data to a synthetic projection centre whose exterior\udorientation parameters match the parameters of the image, assuming an ideal distortion free camera

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

BRUTE FORCE MATCHING BETWEEN CAMERA SHOTS AND SYNTHETIC IMAGES FROM POINT CLOUDS