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6D Pose Estimation using RGB

6D Pose Estimation using RGB refers to the task of determining the six degree-of-freedom (6D) pose of an object in 3D space based on RGB images. This involves estimating the position and orientation of an object in a scene, and is a fundamental problem in computer vision and robotics. In this task, the goal is to estimate the 6D pose of an object given an RGB image of the object and the scene, which can be used for tasks such as robotic manipulation, augmented reality, and scene reconstruction.

( Image credit: Segmentation-driven 6D Object Pose Estimation )

Papers

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Showing 121–130 of 233 papers

TitleStatusHype
A Pose Proposal and Refinement Network for Better Object Pose Estimation—0
Any6D: Model-free 6D Pose Estimation of Novel Objects—0
A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators—0
A Summary of the 4th International Workshop on Recovering 6D Object Pose—0
AxisPose: Model-Free Matching-Free Single-Shot 6D Object Pose Estimation via Axis Generation—0
Object Pose Estimation in Robotics Revisited—0
BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects—0
BOP Challenge 2023 on Detection, Segmentation and Pose Estimation of Seen and Unseen Rigid Objects—0
BOP Challenge 2024 on Model-Based and Model-Free 6D Object Pose Estimation—0
Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion—0
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