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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 151–175 of 233 papers

TitleStatusHype
StablePose: Learning 6D Object Poses from Geometrically Stable Patches—0
Ground-aware Monocular 3D Object Detection for Autonomous DrivingCode1
[Re] On end-to-end 6DoF object pose estimation and robustness to object scaleCode0
Spatial Attention Improves Iterative 6D Object Pose Estimation—0
SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation—0
Classification of Single-View Object Point Clouds—0
End-to-End Differentiable 6DoF Object Pose Estimation with Local and Global Constraints—0
EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approachCode1
SHREC 2020 track: 6D Object Pose Estimation—0
BOP Challenge 2020 on 6D Object LocalizationCode2
CosyPose: Consistent multi-view multi-object 6D pose estimationCode1
PAM:Point-wise Attention Module for 6D Object Pose Estimation—0
se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic DomainsCode1
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware SupervisionCode1
PrimA6D: Rotational Primitive Reconstruction for Enhanced and Robust 6D Pose Estimation—0
Stereo Vision Based Single-Shot 6D Object Pose Estimation for Bin-Picking by a Robot Manipulator—0
Pose Proposal Critic: Robust Pose Refinement by Learning Reprojection Errors—0
Single Shot 6D Object Pose Estimation—0
MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models—0
Self6D: Self-Supervised Monocular 6D Object Pose EstimationCode1
A Pose Proposal and Refinement Network for Better Object Pose Estimation—0
EPOS: Estimating 6D Pose of Objects with SymmetriesCode1
Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D Object Pose Estimation in Color Images—0
G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector FeaturesCode1
Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive HandsCode1
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