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Error Propagation in Full 3D-from-2D Object Recognition

Tao Daniel Alter, David W. Jacobs
CVPR 1994 pp. 892-898
doi:10.1109/CVPR.1994.323920 /cvpr/1994/alter1994cvpr-error/

Abstract

Robust recognition systems require a careful understanding of the effects of error in sensed features. Error in these image features results in uncertainty in the possible image location of each additional model feature. We present an accurate, analytic approximation for this uncertainty when model poses are based on matching three image and model points. This result applies to objects that are fully three-dimensional, where past results considered only two-dimensional objects. Further, we introduce a linear programming algorithm to compute this uncertainty when poses are based on any number of initial matches.< <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

Alter and Jacobs. "Error Propagation in Full 3D-from-2D Object Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994. doi:10.1109/CVPR.1994.323920

Markdown

[Alter and Jacobs. "Error Propagation in Full 3D-from-2D Object Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994.](https://mlanthology.org/cvpr/1994/alter1994cvpr-error/) doi:10.1109/CVPR.1994.323920

BibTeX

@inproceedings{alter1994cvpr-error,
  title     = {{Error Propagation in Full 3D-from-2D Object Recognition}},
  author    = {Alter, Tao Daniel and Jacobs, David W.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1994},
  pages     = {892-898},
  doi       = {10.1109/CVPR.1994.323920},
  url       = {https://mlanthology.org/cvpr/1994/alter1994cvpr-error/}
}