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The result of the terrestrial laser scanning is an impressive number of spatial points, each of them being characterized as position by the\udX, Y and Z co-ordinates, by the value of the laser reflectance and their real color, expressed as RGB (Red, Green, Blue) values. The color\udcode for each LIDAR point is taken from the georeferenced digital images, taken with a high resolution panoramic camera incorporated in\udthe scanner system. In this article I propose a new algorithm for the semiautomatic texture generation, using the color information, the\udRGB values of every point that has been taken by terrestrial laser scanning technology and the 3D surfaces defining the buildings facades,\udgenerated with the Leica Cyclone software. The first step is when the operator defines the limiting value, i.e. the minimum distance\udbetween a point and the closest surface. The second step consists in calculating the distances, or the perpendiculars drawn from each point\udto the closest surface. In the third step we associate the points whose 3D coordinates are known, to every surface, depending on the\udlimiting value. The fourth step consists in computing the Voronoi diagram for the points that belong to a surface. The final step brings\udautomatic association between the RGB value of the color code and the corresponding polygon of the Voronoi diagram. The advantage of\udusing this algorithm is that we can obtain, in a semi-automatic manner, a photorealistic 3D model of the building

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

A NEW APPROACH FOR THE SEMI-AUTOMATIC TEXTURE GENERATION OF THE BUILDINGS FACADES, FROM TERRESTRIAL LASER SCANNER DATA