ML Anthology

Segmentation of 3D Range Images Using Pyramidal Data Structures

Bikash Sabata, Farshid Arman, Jake K. Aggarwal
ICCV 1990 pp. 662-666
doi:10.1109/ICCV.1990.139614 /iccv/1990/sabata1990iccv-segmentation/

Abstract

Given a 3D range image of a scene containing multiple arbitrarily shaped objects, the authors segment the scene into homogeneous surface patches. A novel modular framework for the segmentation task is proposed. In the first module, over-segmentation is achieved using zeroth and first order local surface properties. The segmentation is then refined in the second module using high order surface representations dictated by the high level vision tasks. The procedure has been applied successfully to many range images, five of which are presented.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

ICCV Semantic Scholar

Cite

Text

Sabata et al. "Segmentation of 3D Range Images Using Pyramidal Data Structures." IEEE/CVF International Conference on Computer Vision, 1990. doi:10.1109/ICCV.1990.139614

Markdown

[Sabata et al. "Segmentation of 3D Range Images Using Pyramidal Data Structures." IEEE/CVF International Conference on Computer Vision, 1990.](https://mlanthology.org/iccv/1990/sabata1990iccv-segmentation/) doi:10.1109/ICCV.1990.139614

BibTeX

@inproceedings{sabata1990iccv-segmentation,
  title     = {{Segmentation of 3D Range Images Using Pyramidal Data Structures}},
  author    = {Sabata, Bikash and Arman, Farshid and Aggarwal, Jake K.},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1990},
  pages     = {662-666},
  doi       = {10.1109/ICCV.1990.139614},
  url       = {https://mlanthology.org/iccv/1990/sabata1990iccv-segmentation/}
}