Extraction of indoor objects based on the exponential function density clustering model

Author:

Chen Xijiang,Wu Hao,Lichti Derek,Han Xianquan,Ban Ya,Li Peng,Deng Hui

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference49 articles.

1. PointNet: deep learning on point sets for 3D classification and segmentation;Qi;IEEE Conf. Comput. Vis. Pattern Recogn.,2017

2. PointNet++: deep hierarchical feature learning on point sets in a metric space;Qi;Adv. Neural Inf. Process. Syst.,2017

3. M. Jiang, Y. Wu, T. Zhao, Z. Zhao, C. Lu, PointSIFT: A SIFT-like network module for 3D point cloud semantic segmentation, arXiv preprint arXiv:1807.00652, 2018.

4. Know what your neighbors do: 3D semantic segmentation of point clouds;Engelmann;ECCVW,2018

5. Y. Li, R. Bu, M. Sun, W. Wu, X. Di, B. Chen, PointCNN: convolution on x-transformed points, in Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems , 2018, pp.819-828.

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