ML Anthology

Uncertainty Update and Dynamic Search Window for Model-Based Object Recognition

Chien-Huei Chen, Prasanna G. Mulgaonkar
CVPR 1991 pp. 692-694
doi:10.1109/CVPR.1991.139785 /cvpr/1991/chen1991cvpr-uncertainty/

Abstract

The notion of uncertainty manipulation in robot navigation is applied to the task of model-based object recognition. Based on the fact that every detected object feature in an image must be associated with some uncertainty, the authors show how to iteratively refine the estimate of pose uncertainty of a hypothesized object when a new feature is matched, and how to dynamically determine a proper search window to look for the next model feature. The advantage of this method over the conventional static search window is demonstrated in an actual object recognition task.< <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

Chen and Mulgaonkar. "Uncertainty Update and Dynamic Search Window for Model-Based Object Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991. doi:10.1109/CVPR.1991.139785

Markdown

[Chen and Mulgaonkar. "Uncertainty Update and Dynamic Search Window for Model-Based Object Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991.](https://mlanthology.org/cvpr/1991/chen1991cvpr-uncertainty/) doi:10.1109/CVPR.1991.139785

BibTeX

@inproceedings{chen1991cvpr-uncertainty,
  title     = {{Uncertainty Update and Dynamic Search Window for Model-Based Object Recognition}},
  author    = {Chen, Chien-Huei and Mulgaonkar, Prasanna G.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1991},
  pages     = {692-694},
  doi       = {10.1109/CVPR.1991.139785},
  url       = {https://mlanthology.org/cvpr/1991/chen1991cvpr-uncertainty/}
}