Extracting Surface Textures and Microstructures from Multiple Aerial Images
Abstract
We present a surface texture and microstructure extraction system to provide added realism in visualization and virtual reality applications. The system uses multiple images, 3-D models and camera information, in addition to knowledge about man-made structures, to cope with problems such as perspective distortion, data deficiency, and corruption caused by shadows and occlusions. Combined with the Ascender site modeling system and scene rendering algorithms, the system is typically useful for urban site model refinement and visualization.
Cite
Text
Wang and Hanson. "Extracting Surface Textures and Microstructures from Multiple Aerial Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997. doi:10.1109/CVPR.1997.609339Markdown
[Wang and Hanson. "Extracting Surface Textures and Microstructures from Multiple Aerial Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997.](https://mlanthology.org/cvpr/1997/wang1997cvpr-extracting/) doi:10.1109/CVPR.1997.609339BibTeX
@inproceedings{wang1997cvpr-extracting,
title = {{Extracting Surface Textures and Microstructures from Multiple Aerial Images}},
author = {Wang, Xiaoguang and Hanson, Allen R.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1997},
pages = {301-306},
doi = {10.1109/CVPR.1997.609339},
url = {https://mlanthology.org/cvpr/1997/wang1997cvpr-extracting/}
}