Three Dimensional Metal-Surface Processing Parameter Generation Through Machine Learning-Based Nonlinear Mapping

Author:

Zhu Min1,Dong Yanjun1,Shen Bingqing1,Yu Haiyan2,Jiang Lihong1,Cai Hongming1

Affiliation:

1. School of Software, Shanghai Jiao Tong University,Shanghai,China,200240

2. School of Mechanical Engineering, Donghua University,Shanghai,China,200240

Funder

National Natural Science Foundation of China

Publisher

Tsinghua University Press

Subject

Multidisciplinary

Reference26 articles.

1. Point Net: Deep learning on point sets for 3D classification and segmentation;qi;presented at the 2017 IEEE Conf Computer Vision and Pattern Recognition (CVPR),2017

2. Learning a probabilistic latent space of object shapes via 3D generative-adversarial modeling;wu;Proc 30th Int Conf Neural Information Processing Systems,2016

3. Attentional PointNet for 3D-Object Detection in Point Clouds

4. Point Net++: Deep hierarchical feature learning on point sets in a metric space;qi;Proc 31st Int Conf Neural Information Processing Systems,2017

5. Multiresolution tree networks for 3D point cloud processing;gadelha;Proc 15th European Conf Computer Vision,2018

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