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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 31–40 of 233 papers

TitleStatusHype
End-to-End Probabilistic Geometry-Guided Regression for 6DoF Object Pose Estimation—0
From Words to Poses: Enhancing Novel Object Pose Estimation with Vision Language Models—0
Certifying Robustness of Learning-Based Keypoint Detection and Pose Estimation Methods—0
NeuSurfEmb: A Complete Pipeline for Dense Correspondence-based 6D Object Pose Estimation without CAD ModelsCode1
NeRF-Feat: 6D Object Pose Estimation using Feature Rendering—0
Omni6DPose: A Benchmark and Model for Universal 6D Object Pose Estimation and Tracking—0
Sparse Color-Code Net: Real-Time RGB-Based 6D Object Pose Estimation on Edge Devices—0
Instance-Adaptive and Geometric-Aware Keypoint Learning for Category-Level 6D Object Pose EstimationCode2
YOLOv5-6D: Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging GeometriesCode2
HOIDiffusion: Generating Realistic 3D Hand-Object Interaction Data—0
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