ML Anthology

Geometric and Photometric Restoration of Distorted Documents

Mingxuan Sun, Ruigang Yang, Yun Lin, George V. Landon, W. Brent Seales, Michael S. Brown
ICCV 2005 pp. 1117-1123
doi:10.1109/ICCV.2005.106 /iccv/2005/sun2005iccv-geometric/

Abstract

We present a system to restore the 2D content printed on distorted documents. Our system works by acquiring a 3D scan of the document's surface together with a high-resolution image. Using the 3D surface information and the 2D image, we can ameliorate unwanted surface distortion and effects from non-uniform illumination. Our system can process arbitrary geometric distortions, not requiring any pre-assumed parametric models for the document's geometry. The illumination correction uses the 3D shape to distinguish content edges from illumination edges to recover the 2D content's reflectance image while making no assumptions about light sources and their positions. Results are shown for real objects, demonstrating a complete framework capable of restoring geometric and photometric artifacts on distorted documents

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Cite

Text

Sun et al. "Geometric and Photometric Restoration of Distorted Documents." IEEE/CVF International Conference on Computer Vision, 2005. doi:10.1109/ICCV.2005.106

Markdown

[Sun et al. "Geometric and Photometric Restoration of Distorted Documents." IEEE/CVF International Conference on Computer Vision, 2005.](https://mlanthology.org/iccv/2005/sun2005iccv-geometric/) doi:10.1109/ICCV.2005.106

BibTeX

@inproceedings{sun2005iccv-geometric,
  title     = {{Geometric and Photometric Restoration of Distorted Documents}},
  author    = {Sun, Mingxuan and Yang, Ruigang and Lin, Yun and Landon, George V. and Seales, W. Brent and Brown, Michael S.},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {2005},
  pages     = {1117-1123},
  doi       = {10.1109/ICCV.2005.106},
  url       = {https://mlanthology.org/iccv/2005/sun2005iccv-geometric/}
}