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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 191–200 of 233 papers

TitleStatusHype
Deep Learning for Spacecraft Pose Estimation from Photorealistic RenderingCode0
Object Pose Estimation in Robotics Revisited—0
PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose TrackingCode0
Vision-based Robotic Grasping From Object Localization, Object Pose Estimation to Grasp Estimation for Parallel Grippers: A ReviewCode0
HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects—0
Instance- and Category-level 6D Object Pose Estimation—0
DPOD: 6D Pose Object Detector and RefinerCode0
Photorealistic Image Synthesis for Object Instance Detection—0
6D Object Pose Estimation without PnP—0
Implicit 3D Orientation Learning for 6D Object Detection from RGB ImagesCode0
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