An Efficient Technique for Filtering of 3D Cluttered Surfaces
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-87897-9_4
Reference13 articles.
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2. Aldoma, A., Tombari, F., Di Stefano, L., Vincze, M.: A global hypotheses verification method for 3D object recognition. In: Proceedings of European Conference on Computer Vision, pp. 511–524 (2012)
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4. Borrmann, D., Elseberg, J., Lingemann, K., Nüchter, A.: The 3D hough transform for plane detection in point clouds: a review and a new accumulator design. 3D Research 2, 1–13 (2011)
5. Czerniawski, T., Nahangi, M., Walbridge, S., Haas, C.: Automated removal of planar clutter from 3D point clouds for improving industrial object recognition. In: Proceedings of the 33rd International Symposium on Automation and Robotics in Construction (ISARC), pp. 357–365 (2016)
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