Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B3, 13-16, 2012
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B3/13/2012/
doi:10.5194/isprsarchives-XXXIX-B3-13-2012
© Author(s) 2012. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
23 Jul 2012
IMAGE TO POINT CLOUD METHOD OF 3D-MODELING
A. G. Chibunichev and V. P. Galakhov Moscow State University of Geodesy and Cartography, #4, Gorokhovsky pereulok, 105064, Moscow, Russia.
Keywords: Photogrammetry, Laser scanning, Photography, Three-dimensional, Fusion, Modeling Abstract. This article describes the method of constructing 3D models of objects (buildings, monuments) based on digital images and a point cloud obtained by terrestrial laser scanner. The first step is the automated determination of exterior orientation parameters of digital image. We have to find the corresponding points of the image and point cloud to provide this operation. Before the corresponding points searching quasi image of point cloud is generated. After that SIFT algorithm is applied to quasi image and real image. SIFT algorithm allows to find corresponding points. Exterior orientation parameters of image are calculated from corresponding points. The second step is construction of the vector object model. Vectorization is performed by operator of PC in an interactive mode using single image. Spatial coordinates of the model are calculated automatically by cloud points. In addition, there is automatic edge detection with interactive editing available. Edge detection is performed on point cloud and on image with subsequent identification of correct edges. Experimental studies of the method have demonstrated its efficiency in case of building facade modeling.
Conference paper (PDF, 413 KB)


Citation: Chibunichev, A. G. and Galakhov, V. P.: IMAGE TO POINT CLOUD METHOD OF 3D-MODELING, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B3, 13-16, doi:10.5194/isprsarchives-XXXIX-B3-13-2012, 2012.

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