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PrimiTect: Fast Continuous Hough Voting for Primitive Detection (bibtex)
PrimiTect: Fast Continuous Hough Voting for Primitive Detection (bibtex)
by C. Sommer, Y. Sun, E. Bylow and D. Cremers
Reference:
PrimiTect: Fast Continuous Hough Voting for Primitive Detection (C. Sommer, Y. Sun, E. Bylow and D. Cremers), In International Conference on Robotics and Automation (ICRA), 2020. 
Bibtex Entry:
@string{icra="International Conference on Robotics and Automation (ICRA)"}
@inproceedings{sommer20primitect,
 author = {C. Sommer and Y. Sun and E. Bylow and D. Cremers},
 title = {PrimiTect: Fast Continuous Hough Voting for Primitive Detection},
 booktitle = {International Conference on Robotics and Automation (ICRA)},
 eprint = {2005.07457},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
 doi = {10.1109/ICRA40945.2020.9196988},
 year = {2020},
 keywords = {Geometry Processing},
}
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05.07.2022

We are organizing a workshop on Map-Based Localization for Autonomous Driving at ECCV 2022, Tel Aviv, Israel.

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