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This article describes the method of constructing 3D models of objects (buildings, monuments) based on digital images and a point\udcloud obtained by terrestrial laser scanner. The first step is the automated determination of exterior orientation parameters of digital\udimage. We have to find the corresponding points of the image and point cloud to provide this operation. Before the corresponding\udpoints searching quasi image of point cloud is generated. After that SIFT algorithm is applied to quasi image and real image. SIFT\udalgorithm allows to find corresponding points. Exterior orientation parameters of image are calculated from corresponding points.\udThe second step is construction of the vector object model. Vectorization is performed by operator of PC in an interactive mode using\udsingle image. Spatial coordinates of the model are calculated automatically by cloud points. In addition, there is automatic edge\uddetection with interactive editing available. Edge detection is performed on point cloud and on image with subsequent identification\udof correct edges. Experimental studies of the method have demonstrated its efficiency in case of building facade modeling

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

IMAGE TO POINT CLOUD METHOD OF 3D-MODELING