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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 91–100 of 233 papers

TitleStatusHype
Review on 6D Object Pose Estimation with the focus on Indoor Scene Understanding—0
LocPoseNet: Robust Location Prior for Unseen Object Pose Estimation—0
PoET: Pose Estimation Transformer for Single-View, Multi-Object 6D Pose EstimationCode1
A mixed-reality dataset for category-level 6D pose and size estimation of hand-occluded containers—0
Towards real-time 6D pose estimation of objects in single-view cone-beam X-ray—0
Ambiguity-Aware Multi-Object Pose Optimization for Visually-Assisted Robot ManipulationCode0
Video based Object 6D Pose Estimation using TransformersCode1
CRT-6D: Fast 6D Object Pose Estimation with Cascaded Refinement TransformersCode1
Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the WildCode1
DCL-Net: Deep Correspondence Learning Network for 6D Pose EstimationCode1
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