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Recognition by Functional Parts [function-Based Object Recognition]

Ehud Rivlin, Sven J. Dickinson, Azriel Rosenfeld
CVPR 1994 pp. 267-274
doi:10.1109/CVPR.1994.323839 /cvpr/1994/rivlin1994cvpr-recognition/

Abstract

We present an approach to function-based object recognition that reasons about the functionality of an object's initiative parts. We extend the popular "recognition by parts" shape recognition framework to support "recognition, by functional parts", by combining a set of functional primitives and their relations with a set of abstract volumetric shape primitives and their relations. Previous approaches have relied on more global object features, often ignoring the problem of object segmentation, and thereby restricting themselves to range images of unoccluded scenes. We show how these shape primitives and relations can be easily recovered from superquadric ellipsoids which, in turn, can be recovered from either range or intensity images of occluded scenes. Furthermore, the proposed framework supports both unexpected (bottom-up) object recognition and expected (top-down) object recognition. We demonstrate the approach on, a simple domain by recognizing a restricted class of hand-tools from 2-D images.< <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

Rivlin et al. "Recognition by Functional Parts [function-Based Object Recognition]." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994. doi:10.1109/CVPR.1994.323839

Markdown

[Rivlin et al. "Recognition by Functional Parts [function-Based Object Recognition]." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994.](https://mlanthology.org/cvpr/1994/rivlin1994cvpr-recognition/) doi:10.1109/CVPR.1994.323839

BibTeX

@inproceedings{rivlin1994cvpr-recognition,
  title     = {{Recognition by Functional Parts [function-Based Object Recognition]}},
  author    = {Rivlin, Ehud and Dickinson, Sven J. and Rosenfeld, Azriel},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1994},
  pages     = {267-274},
  doi       = {10.1109/CVPR.1994.323839},
  url       = {https://mlanthology.org/cvpr/1994/rivlin1994cvpr-recognition/}
}