ML Anthology

Integration of Shape from X Modules: Combining Stereo and Shading

James Edwin Cryer, Ping-Sing Tsai, Mubarak Shah
CVPR 1993 pp. 720-721
doi:10.1109/CVPR.1993.341012 /cvpr/1993/cryer1993cvpr-integration/

Abstract

Stereo algorithms suffer from the lack of local surface texture due to smoothness of depth constraint or local mismatches in disparity estimates. The stereo methods only provide a coarse depth map which can be associated with a low pass image of the depth map. Shape from shading algorithms produce better estimates of local surface areas, but some have problems with variable albedo and spherical surfaces. Thus, shape from shading methods produce better detailed depth information, and can be associated with the high pass image of the depth map image. In order to compute a better depth map, a method is presented for integrating the high-frequency information from the shape from shading and the low frequency information from stereo.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Cryer et al. "Integration of Shape from X Modules: Combining Stereo and Shading." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993. doi:10.1109/CVPR.1993.341012

Markdown

[Cryer et al. "Integration of Shape from X Modules: Combining Stereo and Shading." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993.](https://mlanthology.org/cvpr/1993/cryer1993cvpr-integration/) doi:10.1109/CVPR.1993.341012

BibTeX

@inproceedings{cryer1993cvpr-integration,
  title     = {{Integration of Shape from X Modules: Combining Stereo and Shading}},
  author    = {Cryer, James Edwin and Tsai, Ping-Sing and Shah, Mubarak},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1993},
  pages     = {720-721},
  doi       = {10.1109/CVPR.1993.341012},
  url       = {https://mlanthology.org/cvpr/1993/cryer1993cvpr-integration/}
}