A 3-D Recognition and Positioning Algorithm Using Geometrical Matching Between Primitive Surfaces

Abstract

In this paper, we describe an efficient algorithm for 3-0 scene analysis. This algorithm uses a segmentation of the surfaces to identified into geometrical primitives, the original data being obtained by a laser range finder. Moreover, the algorithm estimates precisel the location and orientation of an identified object of the scene. Results are presented on real objects.

Cite

Text

Faugeras and Hebert. "A 3-D Recognition and Positioning Algorithm Using Geometrical Matching Between Primitive Surfaces." International Joint Conference on Artificial Intelligence, 1983.

Markdown

[Faugeras and Hebert. "A 3-D Recognition and Positioning Algorithm Using Geometrical Matching Between Primitive Surfaces." International Joint Conference on Artificial Intelligence, 1983.](https://mlanthology.org/ijcai/1983/faugeras1983ijcai-d/)

BibTeX

@inproceedings{faugeras1983ijcai-d,
  title     = {{A 3-D Recognition and Positioning Algorithm Using Geometrical Matching Between Primitive Surfaces}},
  author    = {Faugeras, Olivier D. and Hebert, Martial},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {1983},
  pages     = {996-1002},
  url       = {https://mlanthology.org/ijcai/1983/faugeras1983ijcai-d/}
}