A novel 3D shape classification algorithm: point-to-vector capsule network
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-021-06231-z.pdf
Reference50 articles.
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2. Lin B, Wang F, Zhao F, Sun Y (2018) Scale invariant point feature (SIPF) for 3D point clouds and 3D multi-scale object detection. Neural Comput Appl 29(5):1209–1224
3. Chen S, Liu B, Feng C, Vallespi-Gonzalez C, Wellington C (2021) 3D point cloud processing and learning for autonomous driving: impacting map creation, localization, and perception. IEEE Signal Process Mag 38(1):68–86
4. Spielberg A, Amini A, Chin L, Matusik W, Rus D (2021) Co-learning of task and sensor placement for soft robotics. IEEE Robot Autom Lett 6(2):1208–1215
5. Wiesmann L, Milioto A, Chen X, Stachniss C, Behley J (2021) Deep compression for dense point cloud maps. IEEE Robot Autom Lett 6(2):2060–2067
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