2D Cross-View Object Segmentation and Perceptual Grouping in Computer-Aided Design Drawings

Mohamed Dhia Elhak Besbes, Zahra Vahidi Ferdousi, Hedi Tabia, Mouna Fradi

ICCVW 2023 pp. 1737-1746

doi:10.1109/ICCVW60793.2023.00190 /iccvw/2023/besbes2023iccvw-2d/

Abstract

This paper introduces our methods in creating a comprehensive evaluation resource for assessing the capabilities of algorithms aimed at segmenting and perceptually grouping 2D mechanical technical drawings. Our dataset encompasses a diverse collection of such drawings, accompanied by semi-automated annotations of segments and groups. These annotations were reviewed by domain experts, following detailed guidelines to ensure both consistency and top-notch quality. The dataset is intended to serve as an invaluable asset for researchers dedicated to advancing techniques that enhance the comprehension and interpretation of 2D mechanical drawings.

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Cite

Text

Besbes et al. "2D Cross-View Object Segmentation and Perceptual Grouping in Computer-Aided Design Drawings." IEEE/CVF International Conference on Computer Vision Workshops, 2023. doi:10.1109/ICCVW60793.2023.00190

Markdown

[Besbes et al. "2D Cross-View Object Segmentation and Perceptual Grouping in Computer-Aided Design Drawings." IEEE/CVF International Conference on Computer Vision Workshops, 2023.](https://mlanthology.org/iccvw/2023/besbes2023iccvw-2d/) doi:10.1109/ICCVW60793.2023.00190

BibTeX

@inproceedings{besbes2023iccvw-2d,
  title     = {{2D Cross-View Object Segmentation and Perceptual Grouping in Computer-Aided Design Drawings}},
  author    = {Besbes, Mohamed Dhia Elhak and Ferdousi, Zahra Vahidi and Tabia, Hedi and Fradi, Mouna},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
  year      = {2023},
  pages     = {1737-1746},
  doi       = {10.1109/ICCVW60793.2023.00190},
  url       = {https://mlanthology.org/iccvw/2023/besbes2023iccvw-2d/}
}