6D Pose Estimation of Transparent Object From Single RGB Image for Robotic Manipulation
Grasping and manipulating transparent objects with a robot is a challenge in robot vision. To successfully perform robotic grasping, 6D object pose estimation is needed. However, transparent objects are difficult to recognize because their appearance varies depending on the background, and modern 3D...
Main Authors: | Munkhtulga Byambaa, Gou Koutaki, Lodoiravsal Choimaa |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9931681/ |
Similar Items
-
6D Pose Estimation of Transparent Object from Single RGB Image
by: Munkhtulga Byambaa, et al.
Published: (2019-11-01) -
Object Detection and Pose Estimation with RGB-D Camera for Supporting Robotic Bin-Picking
by: EKO RUDIAWAN JAMZURI, et al.
Published: (2023-01-01) -
6DoF Pose Estimation of Transparent Object from a Single RGB-D Image
by: Chi Xu, et al.
Published: (2020-11-01) -
Transparency-Aware Segmentation of Glass Objects to Train RGB-Based Pose Estimators
by: Maira Weidenbach, et al.
Published: (2024-01-01) -
Minimizing the Effect of Specular Reflection on Object Detection and Pose Estimation of Bin Picking Systems Using Deep Learning
by: Daksith Jayasinghe, et al.
Published: (2023-01-01)