Invariant Web Defect Detection and Classification System
Abstract
We present a live web defect detection and classification system that runs on a Laptop PC with an attached camera. Features, invariant with respect to rotation and translation based on local integration are extracted from the grabbed images. They are then presented to a neural network for classification.
Cite
Text
Rohrmus. "Invariant Web Defect Detection and Classification System." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000. doi:10.1109/CVPR.2000.854963Markdown
[Rohrmus. "Invariant Web Defect Detection and Classification System." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000.](https://mlanthology.org/cvpr/2000/rohrmus2000cvpr-invariant/) doi:10.1109/CVPR.2000.854963BibTeX
@inproceedings{rohrmus2000cvpr-invariant,
title = {{Invariant Web Defect Detection and Classification System}},
author = {Rohrmus, Dominik R.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2000},
pages = {2794-2795},
doi = {10.1109/CVPR.2000.854963},
url = {https://mlanthology.org/cvpr/2000/rohrmus2000cvpr-invariant/}
}