2D Images of 3-D Oriented Points

Jacobs, David W.

doi:10.1109/CVPR.1993.340985

2D Images of 3-D Oriented Points

David W. Jacobs

CVPR 1993 pp. 226-232

doi:10.1109/CVPR.1993.340985 /cvpr/1993/jacobs1993cvpr-d/

Abstract

A number of vision problems have been shown to become simpler when one models projection from 3-D to 2-D as a nonrigid linear transformation. These results have been largely restricted to models and scenes that consist only of 3-D points. It is shown that, with this projection model, several vision tasks become fundamentally more complex in the somewhat more complicated domain of oriented points. More space is required for indexing models in a database, more images are required to derive structure from motion, and new views of an object cannot be synthesized linearly from old views.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>

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Cite

Text

Jacobs. "2D Images of 3-D Oriented Points." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993. doi:10.1109/CVPR.1993.340985

Markdown

[Jacobs. "2D Images of 3-D Oriented Points." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993.](https://mlanthology.org/cvpr/1993/jacobs1993cvpr-d/) doi:10.1109/CVPR.1993.340985

BibTeX

@inproceedings{jacobs1993cvpr-d,
  title     = {{2D Images of 3-D Oriented Points}},
  author    = {Jacobs, David W.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1993},
  pages     = {226-232},
  doi       = {10.1109/CVPR.1993.340985},
  url       = {https://mlanthology.org/cvpr/1993/jacobs1993cvpr-d/}
}