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Automatic texture and orthophoto generation from registered panoramic views

: Krispel, Ulrich; Evers, Henrik Leander; Tamke, Martin; Viehauser, Robert; Fellner, Dieter W.

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Gonzalez-Aguilera, D. ; International Society for Photogrammetry and Remote Sensing -ISPRS-:
3D-Arch 2015, 3D Virtual Reconstruction and Visualization of Complex Architectures : 6th International Workshop, 25–27 February 2015, Avila, Spain
Istanbul: ISPRS, 2015 (ISPRS Archives XL-5/W4)
ISSN: 1682-1750
International Workshop "3D Virtual Reconstruction and Visualization of Complex Architectures" (3D-ARCH) <6, 2015, Avila>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IGD ()
Fraunhofer Austria ()
Forschungsgruppe Semantic Models, Immersive Systems (SMIS); Business Field: Virtual engineering; Business Field: Digital society; Research Area: Computer graphics (CG); Research Area: Modeling (MOD); image registration; Texturing; point cloud; machine learning

Recent trends in 3D scanning are aimed at the fusion of range data and color information from images. The combination of these two outputs allows to extract novel semantic information. The workflow presented in this paper allows to detect objects, such as light switches, that are hard to identify from range data only. In order to detect these elements, we developed a method that utilizes range data and color information from high-resolution panoramic images of indoor scenes, taken at the scanners position. A proxy geometry is derived from the point clouds; orthographic views of the scene are automatically identified from the geometry and an image per view is created via projection. We combine methods of computer vision to train a classifier to detect the objects of interest from these orthographic views. Furthermore, these views can be used for automatic texturing of the proxy geometry.