ML Anthology

Photometric Stereo and Weather Estimation Using Internet Images

Li Shen, Ping Tan
CVPR 2009 pp. 1850-1857
doi:10.1109/CVPR.2009.5206732 /cvpr/2009/shen2009cvpr-photometric/

Abstract

We extend photometric stereo to make it work with internet images, which are typically associated with different viewpoints and significant noise. For popular tourism sites, thousands of images can be obtained from internet search engines. With these images, our method computes the global illumination for each image and the surface orientation at some scene points. The illumination information can then be used to estimate the weather conditions (such as sunny or cloudy) for each image, since there is a strong correlation between weather and scene illumination. We demonstrate our method on several challenging examples.

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Cite

Text

Shen and Tan. "Photometric Stereo and Weather Estimation Using Internet Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2009. doi:10.1109/CVPR.2009.5206732

Markdown

[Shen and Tan. "Photometric Stereo and Weather Estimation Using Internet Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2009.](https://mlanthology.org/cvpr/2009/shen2009cvpr-photometric/) doi:10.1109/CVPR.2009.5206732

BibTeX

@inproceedings{shen2009cvpr-photometric,
  title     = {{Photometric Stereo and Weather Estimation Using Internet Images}},
  author    = {Shen, Li and Tan, Ping},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2009},
  pages     = {1850-1857},
  doi       = {10.1109/CVPR.2009.5206732},
  url       = {https://mlanthology.org/cvpr/2009/shen2009cvpr-photometric/}
}