ML Anthology

Stereo from Uncalibrated Cameras

Richard I. Hartley, Rajiv Gupta, Tom Chang
CVPR 1992 pp. 761-764
doi:10.1109/CVPR.1992.223179 /cvpr/1992/hartley1992cvpr-stereo/

Abstract

The problem of computing placement of points in 3-D space, given two uncalibrated perspective views, is considered. The main theorem shows that the placement of the points is determined only up to an arbitrary projective transformation of 3-space. Given additional ground control points, however, the location of the points and the camera parameters may be determined. The method is linear and noniterative, whereas previously known methods for solving the camera calibration and placement problem to take proper account of both ground-control points and image correspondences are unsatisfactory in requiring either iterative methods or model restrictions. As a result of the main theorem, it is possible to determine projective invariants of 3-D geometric configurations from two perspective views.< <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

Hartley et al. "Stereo from Uncalibrated Cameras." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223179

Markdown

[Hartley et al. "Stereo from Uncalibrated Cameras." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/hartley1992cvpr-stereo/) doi:10.1109/CVPR.1992.223179

BibTeX

@inproceedings{hartley1992cvpr-stereo,
  title     = {{Stereo from Uncalibrated Cameras}},
  author    = {Hartley, Richard I. and Gupta, Rajiv and Chang, Tom},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1992},
  pages     = {761-764},
  doi       = {10.1109/CVPR.1992.223179},
  url       = {https://mlanthology.org/cvpr/1992/hartley1992cvpr-stereo/}
}