ML Anthology

Active 3D Object Models

Ruud M. Bolle, Andrea Califano, Rick Kjeldsen, Rakesh Mohan
ICCV 1990 pp. 329-333
doi:10.1109/ICCV.1990.139543 /iccv/1990/bolle1990iccv-active/

Abstract

A novel approach is presented for pruning the amount of search needed to match image features to object models. The technique relies on active networks which capture various visibility and geometric constraints between features of a model to prune these features from search space during matching. The networks, which can be efficiently implemented in Boolean logic, integrate harmoniously with the previous work in feature recognition and object matching. A method is proposed for clustering model features (vsets) and four types of constraints which assist in building the networks. The authors show, both analytically and empirically, the dramatic reduction in search provided by activation nets.< <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

Bolle et al. "Active 3D Object Models." IEEE/CVF International Conference on Computer Vision, 1990. doi:10.1109/ICCV.1990.139543

Markdown

[Bolle et al. "Active 3D Object Models." IEEE/CVF International Conference on Computer Vision, 1990.](https://mlanthology.org/iccv/1990/bolle1990iccv-active/) doi:10.1109/ICCV.1990.139543

BibTeX

@inproceedings{bolle1990iccv-active,
  title     = {{Active 3D Object Models}},
  author    = {Bolle, Ruud M. and Califano, Andrea and Kjeldsen, Rick and Mohan, Rakesh},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1990},
  pages     = {329-333},
  doi       = {10.1109/ICCV.1990.139543},
  url       = {https://mlanthology.org/iccv/1990/bolle1990iccv-active/}
}