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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 151–160 of 233 papers

TitleStatusHype
ACR-Pose: Adversarial Canonical Representation Reconstruction Network for Category Level 6D Object Pose Estimation—0
A mixed-reality dataset for category-level 6D pose and size estimation of hand-occluded containers—0
A Novel Convolution and Attention Mechanism-based Model for 6D Object Pose Estimation—0
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
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