A Neural Network Approach to CSG-Based 3-D Object Recognition
Abstract
The recognition subsystem of a vision system based on a constructive solid geometry (CSG) representation scheme is described. From the image, a description about the scene-precedence graph-is inferred. Object recognition is formulated as matching a scene precedence graph to a model precedence graph which is executed by a constraint satisfaction network.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cite
Text
Chen and Lin. "A Neural Network Approach to CSG-Based 3-D Object Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991. doi:10.1109/CVPR.1991.139797Markdown
[Chen and Lin. "A Neural Network Approach to CSG-Based 3-D Object Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991.](https://mlanthology.org/cvpr/1991/chen1991cvpr-neural/) doi:10.1109/CVPR.1991.139797BibTeX
@inproceedings{chen1991cvpr-neural,
title = {{A Neural Network Approach to CSG-Based 3-D Object Recognition}},
author = {Chen, Tsu-Wang and Lin, Wei-Chung},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1991},
pages = {718-719},
doi = {10.1109/CVPR.1991.139797},
url = {https://mlanthology.org/cvpr/1991/chen1991cvpr-neural/}
}