ML Anthology

Active Object Recognition

David Wilkes, John K. Tsotsos
CVPR 1992 pp. 136-141
doi:10.1109/CVPR.1992.223215 /cvpr/1992/wilkes1992cvpr-active/

Abstract

The concept of active object recognition is introduced, and a proposal for its solution is described. The camera is mounted on the end of a robot arm on a mobile base. The system exploits the mobility of the camera by using low-level image data to drive the camera to a standard viewpoint with respect to an unknown object. From such a viewpoint, the object recognition task is reduced to a two-dimensional pattern recognition problem. The system uses an efficient tree-based, probabilistic indexing scheme to find the model object that is likely to have generated the observed data, and for line tracking uses a modification of the token-based tracking scheme of J.L. Crowley et al. (1988). The system has been successfully tested on a set of origami objects. Given sufficiently accurate low-level data, recognition time is expected to grow only logarithmically with the number of objects stored.< <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

Wilkes and Tsotsos. "Active Object Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223215

Markdown

[Wilkes and Tsotsos. "Active Object Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/wilkes1992cvpr-active/) doi:10.1109/CVPR.1992.223215

BibTeX

@inproceedings{wilkes1992cvpr-active,
  title     = {{Active Object Recognition}},
  author    = {Wilkes, David and Tsotsos, John K.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1992},
  pages     = {136-141},
  doi       = {10.1109/CVPR.1992.223215},
  url       = {https://mlanthology.org/cvpr/1992/wilkes1992cvpr-active/}
}