GFA-Net: Geometry-Focused Attention Network for Six Degrees of Freedom Object Pose Estimation

GFA-Net: Geometry-Focused Attention Network for Six Degrees of Freedom Object Pose Estimation

Six degrees of freedom (6-DoF) object pose estimation is essential for robotic grasping and autonomous driving. While estimating pose from a single RGB image is highly desirable for real-world applications, it presents significant challenges. Many approaches incorporate supplementary information, su...

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Bibliographic Details
Main Authors: Shuai Lin, Junhui Yu, Peng Su, Weitao Xue, Yang Qin, Lina Fu, Jing Wen, Hong Huang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
pose estimation
RGB image
deep learning
geometric feature
dense correspondences
Online Access:https://www.mdpi.com/1424-8220/25/1/168
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