Knowledge-Based Image Understanding Using Incomplete and Generic Models

Walker, Ellen Lowenfeld

doi:10.1109/CVPR.1993.340960

Knowledge-Based Image Understanding Using Incomplete and Generic Models

Ellen Lowenfeld Walker

CVPR 1993 pp. 699-700

doi:10.1109/CVPR.1993.340960 /cvpr/1993/walker1993cvpr-knowledge/

Abstract

A unified representation for image understanding that includes generic models of both objects and sensors is presented. Image understanding tasks such as model-based stereo fusion are performed by applying computation, specialization, and matching up to this representation. Although specialized techniques for a given task are more efficient than the generalized method described, the general formulation allows unforeseen combinations of a priori knowledge and images.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>

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Cite

Text

Walker. "Knowledge-Based Image Understanding Using Incomplete and Generic Models." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993. doi:10.1109/CVPR.1993.340960

Markdown

[Walker. "Knowledge-Based Image Understanding Using Incomplete and Generic Models." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993.](https://mlanthology.org/cvpr/1993/walker1993cvpr-knowledge/) doi:10.1109/CVPR.1993.340960

BibTeX

@inproceedings{walker1993cvpr-knowledge,
  title     = {{Knowledge-Based Image Understanding Using Incomplete and Generic Models}},
  author    = {Walker, Ellen Lowenfeld},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1993},
  pages     = {699-700},
  doi       = {10.1109/CVPR.1993.340960},
  url       = {https://mlanthology.org/cvpr/1993/walker1993cvpr-knowledge/}
}