ML Anthology

Shape from Equal Thickness Contours

Ge Cong, Bahram Parvin
CVPR 1998 pp. 502-507
doi:10.1109/CVPR.1998.698652 /cvpr/1998/cong1998cvpr-shape/

Abstract

A unique imaging modality based on Equal Thickness Contours (ETC) has introduced a new opportunity for 3D shape reconstruction from multiple views. We present a computational framework for representing each view of an object in terms of its object thickness, and then integrating these representations into a 3D surface by algebraic reconstruction. The object thickness is inferred by grouping curve segments that correspond to points of second derivative maxima. At each step of the process, we use some form of regularization to ensure closeness to the original features, as well as neighborhood continuity. We apply our approach to images of a sub-micron crystal structure obtained through a holographic process.

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Cite

Text

Cong and Parvin. "Shape from Equal Thickness Contours." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1998. doi:10.1109/CVPR.1998.698652

Markdown

[Cong and Parvin. "Shape from Equal Thickness Contours." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1998.](https://mlanthology.org/cvpr/1998/cong1998cvpr-shape/) doi:10.1109/CVPR.1998.698652

BibTeX

@inproceedings{cong1998cvpr-shape,
  title     = {{Shape from Equal Thickness Contours}},
  author    = {Cong, Ge and Parvin, Bahram},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1998},
  pages     = {502-507},
  doi       = {10.1109/CVPR.1998.698652},
  url       = {https://mlanthology.org/cvpr/1998/cong1998cvpr-shape/}
}