CONSISTENT MULTI-VIEW TEXTURING OF DETAILED 3D SURFACE MODELS
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 part...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2015-03-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W4/25/2015/isprsannals-II-3-W4-25-2015.pdf |
| Summary: | 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. |
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| ISSN: | 2194-9042 2194-9050 |