Model-Based Invariants for 3D Vision

Weinshall, Daphna

doi:10.1109/CVPR.1993.341023

Model-Based Invariants for 3D Vision

Daphna Weinshall

CVPR 1993 pp. 695-696

doi:10.1109/CVPR.1993.341023 /cvpr/1993/weinshall1993cvpr-model/

Abstract

A hierarchical representation of the 3D shape of objects that is invariant to affine and rigid 3D transformations is described. Model-based invariant functions of general 3D objects are defined and constructed using this representation. A linear algorithm for invariant structure from motion from a sequence of images is outlined. The model-based invariant functions are used as model-based object recognition operators, operating on raw image features. An efficient invariant implementation of alignment and geometric hashing is discussed.< <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

Weinshall. "Model-Based Invariants for 3D Vision." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993. doi:10.1109/CVPR.1993.341023

Markdown

[Weinshall. "Model-Based Invariants for 3D Vision." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993.](https://mlanthology.org/cvpr/1993/weinshall1993cvpr-model/) doi:10.1109/CVPR.1993.341023

BibTeX

@inproceedings{weinshall1993cvpr-model,
  title     = {{Model-Based Invariants for 3D Vision}},
  author    = {Weinshall, Daphna},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1993},
  pages     = {695-696},
  doi       = {10.1109/CVPR.1993.341023},
  url       = {https://mlanthology.org/cvpr/1993/weinshall1993cvpr-model/}
}