ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W4, 25-31, 2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
11 Mar 2015
K. Davydova1, G. Kuschk1, L. Hoegner2, P. Reinartz1, and U. Stilla2 1Remote Sensing Technology Institute, German Aerospace Center (DLR), D-82234 Wessling, Germany
2Photogrammetry & Remote Sensing, Technische Universitaet Muenchen (TUM), Arcisstr. 21, 80333 Munich, Germany
Keywords: Multi-texturing, 3D model, Large-scale, Aerial images, MRF, Seam visibility, Urban Abstract. Texture mapping techniques are used to achieve a high degree of realism for computer generated large-scale and detailed 3D surface models by extracting the texture information from photographic images and applying it to the object surfaces. Due to the fact that a single image cannot capture all parts of the scene, a number of images should be taken. However, texturing the object surfaces from several images can lead to lighting variations between the neighboring texture fragments. In this paper we describe the creation of a textured 3D scene from overlapping aerial images using a Markov Random Field energy minimization framework. We aim to maximize the quality of the generated texture mosaic, preserving the resolution from the original images, and at the same time to minimize the seam visibilities between adjacent fragments. As input data we use a triangulated mesh of the city center of Munich and multiple camera views of the scene from different directions.
Conference paper (PDF, 12984 KB)

Citation: Davydova, K., Kuschk, G., Hoegner, L., Reinartz, P., and Stilla, U.: CONSISTENT MULTI-VIEW TEXTURING OF DETAILED 3D SURFACE MODELS, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W4, 25-31,, 2015.

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