StereoPose: Category-Level 6D Transparent Object Pose Estimation from Stereo Images via Back-View NOCS
Author:
Affiliation:
1. The Chinese University of Hong Kong
2. University of California,Berkeley
3. Hong Kong Centre for Logistics Robotics
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10160211/10160212/10160780.pdf?arnumber=10160780
Reference42 articles.
1. Transfusion: A Novel SLAM Method Focused on Transparent Objects
2. Disentangled Non-local Neural Networks
3. Dex-nerf: Using a neural radiance field to grasp transparent objects;ichnowski;5th Annual Conference on Robot Learning,2021
4. SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings
5. Recognition and pose estimation of rigid transparent objects with a kinect sensor;lysenkov;Robotics,2013
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4. KVN: Keypoints Voting Network With Differentiable RANSAC for Stereo Pose Estimation;IEEE Robotics and Automation Letters;2024-04
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