RFTrans: Leveraging Refractive Flow of Transparent Objects for Surface Normal Estimation and Manipulation
Author:
Affiliation:
1. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
2. Qing Yuan Research Institute and MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China
Funder
National Key R&D Program of China
Shanghai Municipal Science and Technology Major Project
Shanghai Qi Zhi Institute
Science and Technology Commission of Shanghai Municipality
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/7083369/10440130/10432938.pdf?arnumber=10432938
Reference46 articles.
1. Robotic Perception of Transparent Objects: A Review
2. A4T: Hierarchical Affordance Detection for Transparent Objects Depth Reconstruction and Manipulation
3. Clear Grasp: 3D Shape Estimation of Transparent Objects for Manipulation
4. 3D Reconstruction of Transparent Objects with Position-Normal Consistency
5. A fixed viewpoint approach for dense reconstruction of transparent objects
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