ML Anthology

Accurate Line Parameters from an Optimising Hough Transform for Vanishing Point Detection

Phil L. Palmer, Maria Petrou, Josef Kittler
ICCV 1993 pp. 529-533
doi:10.1109/ICCV.1993.378167 /iccv/1993/palmer1993iccv-accurate/

Abstract

The authors show that a Hough transform algorithm can give sufficiently accurate estimates of line parameters to accurately locate vanishing points, even when they are several hundred pixels off the image. For this purpose, a 2-D robust kernel is used and the continuity of the accumulator array is exploited to optimize the parameter estimates. The algorithm is described in detail and results are shown on a variety of images, including synthetic images to determine quantitatively the accuracy of the vanishing point location by performing statistical tests.< <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

Palmer et al. "Accurate Line Parameters from an Optimising Hough Transform for Vanishing Point Detection." IEEE/CVF International Conference on Computer Vision, 1993. doi:10.1109/ICCV.1993.378167

Markdown

[Palmer et al. "Accurate Line Parameters from an Optimising Hough Transform for Vanishing Point Detection." IEEE/CVF International Conference on Computer Vision, 1993.](https://mlanthology.org/iccv/1993/palmer1993iccv-accurate/) doi:10.1109/ICCV.1993.378167

BibTeX

@inproceedings{palmer1993iccv-accurate,
  title     = {{Accurate Line Parameters from an Optimising Hough Transform for Vanishing Point Detection}},
  author    = {Palmer, Phil L. and Petrou, Maria and Kittler, Josef},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1993},
  pages     = {529-533},
  doi       = {10.1109/ICCV.1993.378167},
  url       = {https://mlanthology.org/iccv/1993/palmer1993iccv-accurate/}
}