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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 171–180 of 233 papers

TitleStatusHype
StablePose: Learning 6D Object Poses from Geometrically Stable Patches—0
[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
SHREC 2020 track: 6D Object Pose Estimation—0
PAM:Point-wise Attention Module for 6D Object Pose Estimation—0
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
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