1. Home
2. Premium
3. IEEE ICASSP 2020 Virtual Conference May 2020
4. Learning Local Structure Of Representative Points For Point Cloud Classification And Semantic Segmentation

Learning Local Structure Of Representative Points For Point Cloud Classification And Semantic Segmentation

Collection:

IEEE ICASSP 2020 Virtual Conference May 2020

Directly processing large point clouds is inefficient. State-of-the-art frameworks hierarchically employ Farthest Point Sampling (FPS) to down-sample the data for point cloud classification, semantic segmentation, etc. However, using only geometric inform

• IEEE MemberUS $11.00
• Society MemberUS $0.00
• IEEE Student MemberUS $11.00
• Non-IEEE MemberUS $15.00

Purchase

Videos in this product

Learning Local Structure Of Representative Points For Point Cloud Classification And Semantic Segmentation

00:12:34

0 views

Directly processing large point clouds is inefficient. State-of-the-art frameworks hierarchically employ Farthest Point Sampling (FPS) to down-sample the data for point cloud classification, semantic segmentation, etc. However, using only geometric inform