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During the last decade, laser scanning and automated photogrammetric techniques, proved that it is possible to acquire dense colored\udpoint cloud datasets. The density of such datasets sometimes equals or exceeds the density of orthophotos. The standard orthophoto\udgeneration process using such dense and full 3D data sets, is tedious as it requires manual corrections over the 3D mesh model, as\udwell as mosaicking and gap filling from adjacent photographs. This paper suggests a fast automated method to produce orthophotos\uddirectly from color point clouds, without the need to create a mesh surface, nor to mosaic or fill gaps. Photos from radio controlled\udhelicopter are being processed with traditional photogrammetric process and modern computer vision techniques, against the\udproposed method. Reference data from land surveying are being used to compare orthophotos from different sources

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

DIRECT ORTHOPHOTO GENERATION FROM COLOR POINT CLOUDS OF COMPLEX SCENES