HOT Curves for Modelling and Recognition of Smooth Curved 3D Objects

Tanuja Joshi, Jean Ponce, B. Vijayakumar, David J. Kriegman

CVPR 1994 pp. 876-880

doi:10.1109/CVPR.1994.323917 /cvpr/1994/joshi1994cvpr-hot/

Abstract

Arbitrary smooth curved 3D shapes are represented by a discrete set of high-order tangent (HOT) curves, where a surface admits HOTs. These curves determine the structure of the image contours and its catastrophic changes, and there is a natural correspondence between some of them and monocular contour features such as inflections and bitangents. We present a method for automatically constructing the HOT curves from continuous sequences of video images and describe an approach to object recognition using viewpoint-dependent monocular image features as indices into a database of models and as a basis for pose estimation. We have implemented both of the methods, and present results obtained from real images.<<ETX>>

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Text

Joshi et al. "HOT Curves for Modelling and Recognition of Smooth Curved 3D Objects." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994. doi:10.1109/CVPR.1994.323917

Markdown

[Joshi et al. "HOT Curves for Modelling and Recognition of Smooth Curved 3D Objects." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994.](https://mlanthology.org/cvpr/1994/joshi1994cvpr-hot/) doi:10.1109/CVPR.1994.323917

BibTeX

@inproceedings{joshi1994cvpr-hot,
  title     = {{HOT Curves for Modelling and Recognition of Smooth Curved 3D Objects}},
  author    = {Joshi, Tanuja and Ponce, Jean and Vijayakumar, B. and Kriegman, David J.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1994},
  pages     = {876-880},
  doi       = {10.1109/CVPR.1994.323917},
  url       = {https://mlanthology.org/cvpr/1994/joshi1994cvpr-hot/}
}