ML Anthology

3D Reconstruction of the Human Jaw from a Sequence of Images

Moumen T. Ahmed, Sameh M. Yamany, Elsayed E. Hemayed, S. Ahmed, S. Roberts, Aly A. Farag
CVPR 1997 pp. 646-653
doi:10.1109/CVPR.1997.609394 /cvpr/1997/ahmed1997cvpr-d/

Abstract

A novel approach is proposed to obtain a record of the patient's occlusion using computer vision. Data acquisition is obtained using intra-oral video cameras. The technique utilizes shape from shading to extract 3D information from 2D views of the jaw, and a novel technique for 3D data registration using genetic algorithms. The resulting 3D model can be used for diagnosis, treatment planning, and implant purposes. The overall purpose of this research is to develop a model-based vision system for orthodontics to replace traditional approaches. This system will be flexible, accurate, and will reduce the cost of orthodontic treatments.

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Cite

Text

Ahmed et al. "3D Reconstruction of the Human Jaw from a Sequence of Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997. doi:10.1109/CVPR.1997.609394

Markdown

[Ahmed et al. "3D Reconstruction of the Human Jaw from a Sequence of Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997.](https://mlanthology.org/cvpr/1997/ahmed1997cvpr-d/) doi:10.1109/CVPR.1997.609394

BibTeX

@inproceedings{ahmed1997cvpr-d,
  title     = {{3D Reconstruction of the Human Jaw from a Sequence of Images}},
  author    = {Ahmed, Moumen T. and Yamany, Sameh M. and Hemayed, Elsayed E. and Ahmed, S. and Roberts, S. and Farag, Aly A.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1997},
  pages     = {646-653},
  doi       = {10.1109/CVPR.1997.609394},
  url       = {https://mlanthology.org/cvpr/1997/ahmed1997cvpr-d/}
}