ML Anthology

Planar Orientation from Blur Gradients in a Single Image

Scott McCloskey, Michael S. Langer
CVPR 2009 pp. 2318-2325
doi:10.1109/CVPR.2009.5206618 /cvpr/2009/mccloskey2009cvpr-planar/

Abstract

We present a focus-based method to recover the orientation of a textured planar surface patch from a single image. The method exploits the relationship between the orientation of equifocal (i.e. uniformly-blurred) contours in the image and the plane's tilt and slant angles. Compared to previous methods that determine planar orientation, we make fewer assumptions about the texture and remove the restriction that images must be acquired through a pinhole aperture. Our method estimates slant and tilt of an image patch in a single image, as compared to depth from defocus methods that require two or more input images. Experiments are performed using a large set of test images.

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Text

McCloskey and Langer. "Planar Orientation from Blur Gradients in a Single Image." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2009. doi:10.1109/CVPR.2009.5206618

Markdown

[McCloskey and Langer. "Planar Orientation from Blur Gradients in a Single Image." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2009.](https://mlanthology.org/cvpr/2009/mccloskey2009cvpr-planar/) doi:10.1109/CVPR.2009.5206618

BibTeX

@inproceedings{mccloskey2009cvpr-planar,
  title     = {{Planar Orientation from Blur Gradients in a Single Image}},
  author    = {McCloskey, Scott and Langer, Michael S.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2009},
  pages     = {2318-2325},
  doi       = {10.1109/CVPR.2009.5206618},
  url       = {https://mlanthology.org/cvpr/2009/mccloskey2009cvpr-planar/}
}