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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 161–170 of 233 papers

TitleStatusHype
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
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