Refinement of LiDAR point clouds using a super voxel based approach

Author:

Li MingleiORCID,Sun ChangmingORCID

Funder

Natural Science Foundation of Jiangsu Province

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference26 articles.

1. Computing and rendering point set surfaces;Alexa;IEEE Trans. Visual Comput. Graph.,2003

2. Benhabiles, H., Aubreton, O., Barki, H., Tabia, H., 2013. Fast simplification with sharp feature preserving for 3D point clouds. In: International Symposium on Programming and Systems (ISPS), pp. 47–52.

3. State of the Art in Surface Reconstruction from Point Clouds;Berger,2014

4. Buades, A., Morel, J.M., 2005. A non-local algorithm for image denoising. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 60–65.

5. Carr, J., Beatson, R.K., Cherrie, J.B., Mitchell, T.J., Fright, W.R., Mccallum, B.C., Evans, T.R., 2001. Reconstruction and representation of 3D objects with radial basis functions. In: Proceedings of ACM SIGGRAPH, pp. 67–76.

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