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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
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
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