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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 101–125 of 233 papers

TitleStatusHype
Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd—0
Recovering 6D Object Pose: A Review and Multi-modal Analysis—0
Review on 6D Object Pose Estimation with the focus on Indoor Scene Understanding—0
Rigidity Preserving Image Transformations and Equivariance in Perspective—0
Robust 6D Object Pose Estimation in Cluttered Scenes using Semantic Segmentation and Pose Regression Networks—0
Robust 6D Object Pose Estimation with Stochastic Congruent Sets—0
SCFlow2: Plug-and-Play Object Pose Refiner with Shape-Constraint Scene Flow—0
SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation—0
SHREC 2020 track: 6D Object Pose Estimation—0
SilhoNet-Fisheye: Adaptation of A ROI Based Object Pose Estimation Network to Monocular Fisheye Images—0
Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin Picking—0
Single Shot 6D Object Pose Estimation—0
SMOC-Net: Leveraging Camera Pose for Self-Supervised Monocular Object Pose Estimation—0
SO(3)-Pose: SO(3)-Equivariance Learning for 6D Object Pose Estimation—0
SOCS: Semantically-aware Object Coordinate Space for Category-Level 6D Object Pose Estimation under Large Shape Variations—0
Sparse Color-Code Net: Real-Time RGB-Based 6D Object Pose Estimation on Edge Devices—0
Spatial Attention Improves Iterative 6D Object Pose Estimation—0
StablePose: Learning 6D Object Poses from Geometrically Stable Patches—0
StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation—0
Stereo Vision Based Single-Shot 6D Object Pose Estimation for Bin-Picking by a Robot Manipulator—0
Synthetic Data Generation for Bridging Sim2Real Gap in a Production Environment—0
Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D Object Pose Estimation in Color Images—0
Targeted Hard Sample Synthesis Based on Estimated Pose and Occlusion Error for Improved Object Pose Estimation—0
TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation—0
Three-Filters-to-Normal+: Revisiting Discontinuity Discrimination in Depth-to-Normal Translation—0
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