ML Anthology

3-D Recognition and Shape Estimation from Image Contours Using Invariant 3-D Object Curve Models

Fernand S. Cohen, Jin-Yinn Wang
CVPR 1992 pp. 722-725
doi:10.1109/CVPR.1992.223190 /cvpr/1992/cohen1992cvpr-d/

Abstract

The problem of recognizing and estimating the shape of objects with special markings (text, symbols, drawings, etc.) on their surfaces using B-spline curve modeling and a pair of binocular images is considered. As a direct consequence of the invariance of the B-splines to affine transformations the computation of the 3-D coordinates of the object curve points from a pair of stereo images becomes a straightforward task, and is obtained using minimum-mean-square-error estimation. The 3-D curve is recovered from the estimated object curve control points, and is subsequently used for the object shape estimation and classification.< <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

Cohen and Wang. "3-D Recognition and Shape Estimation from Image Contours Using Invariant 3-D Object Curve Models." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223190

Markdown

[Cohen and Wang. "3-D Recognition and Shape Estimation from Image Contours Using Invariant 3-D Object Curve Models." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/cohen1992cvpr-d/) doi:10.1109/CVPR.1992.223190

BibTeX

@inproceedings{cohen1992cvpr-d,
  title     = {{3-D Recognition and Shape Estimation from Image Contours Using Invariant 3-D Object Curve Models}},
  author    = {Cohen, Fernand S. and Wang, Jin-Yinn},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1992},
  pages     = {722-725},
  doi       = {10.1109/CVPR.1992.223190},
  url       = {https://mlanthology.org/cvpr/1992/cohen1992cvpr-d/}
}