ML Anthology

Spatial-Depth Super Resolution for Range Images

Qingxiong Yang, Ruigang Yang, James Davis, David Nistér
CVPR 2007
doi:10.1109/CVPR.2007.383211 /cvpr/2007/yang2007cvpr-spatial/

Abstract

We present a new post-processing step to enhance the resolution of range images. Using one or two registered and potentially high-resolution color images as reference, we iteratively refine the input low-resolution range image, in terms of both its spatial resolution and depth precision. Evaluation using the Middlebury benchmark shows across-the-board improvement for sub-pixel accuracy. We also demonstrated its effectiveness for spatial resolution enhancement up to 100 times with a single reference image.

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Cite

Text

Yang et al. "Spatial-Depth Super Resolution for Range Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007. doi:10.1109/CVPR.2007.383211

Markdown

[Yang et al. "Spatial-Depth Super Resolution for Range Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007.](https://mlanthology.org/cvpr/2007/yang2007cvpr-spatial/) doi:10.1109/CVPR.2007.383211

BibTeX

@inproceedings{yang2007cvpr-spatial,
  title     = {{Spatial-Depth Super Resolution for Range Images}},
  author    = {Yang, Qingxiong and Yang, Ruigang and Davis, James and Nistér, David},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2007},
  doi       = {10.1109/CVPR.2007.383211},
  url       = {https://mlanthology.org/cvpr/2007/yang2007cvpr-spatial/}
}