Selviah, DR;
(2018)
Robust Automatic 3D Point Cloud Registration and Object Detection.
Geomatics World
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Abstract
This article presents a ground-breaking approach to generating survey data for a BIM process offered by the Vercator toolkit. Produced by a UCL spin-out company, Correvate, it touches on the robust automatic registration and smart object recognition technology that the company is developing for downstream analysis.
| Type: | Article |
|---|---|
| Title: | Robust Automatic 3D Point Cloud Registration and Object Detection |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://www.geomatics-world.co.uk/content/article/... |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | laser scan, LIDAR, 3D, alignment, registration, Deep Learning, Neural Network, Recognition, Image Processing, Signal Processing |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10044459 |
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