SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
High-Quality Texture Reconstruction from Multiple Scans
IEEE Transactions on Visualization and Computer Graphics
Diffuse-Specular Separation and Depth Recovery from Image Sequences
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Automated Texture Registration and Stitching for Real World Models
PG '00 Proceedings of the 8th Pacific Conference on Computer Graphics and Applications
Acquisition and Visualization of Colored 3D Objects
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Highlight Removal by Illumination-Constrained Inpainting
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Digital photography with flash and no-flash image pairs
ACM SIGGRAPH 2004 Papers
Flash photography enhancement via intrinsic relighting
ACM SIGGRAPH 2004 Papers
Fusing Multiple Color Images for Texturing Models
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
SIGGRAPH '04 ACM SIGGRAPH 2004 Sketches
Chromaticity-based separation of reflection components in a single image
Pattern Recognition
Entropy Minimization for Shadow Removal
International Journal of Computer Vision
Improved color acquisition and mapping on 3D models via flash-based photography
Journal on Computing and Cultural Heritage (JOCCH)
What Do the Sun and the Sky Tell Us About the Camera?
International Journal of Computer Vision
Interactive shadow removal from a single image using hierarchical graph cut
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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The result of an outdoors 3D scanning acquisition campaign is usually an accurate 3D model of the site, but in most of the cases the quality of the color acquired by the scanner is not satisfying. Alternative solutions, like the projection of a photographic dataset acquired in a different stage, are still dependent on the quality of the initial images. The short time for the acquisition campaigns and the weather conditions often force the shooting of images taken under a strong direct sun illumination. This generates colored models of poor quality. In this paper we present a method to estimate the sun position starting from a geo-referenced 3D model and a set of images. The sun position can enhance both the image alignment and color projection phases. Moreover, the detection and removal of the shadows from the images produces a better and more coherent color in the final 3D model. Using this kind of approach, outdoor sites can be acquired producing a high quality color information together with an accurate geometric measurement.