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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 201–233 of 233 papers

TitleStatusHype
6D Object Pose Estimation Based on 2D Bounding Box—0
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size EstimationCode1
PVNet: Pixel-wise Voting Network for 6DoF Pose EstimationCode1
Segmentation-driven 6D Object Pose EstimationCode0
Estimating 6D Pose From Localizing Designated Surface KeypointsCode0
Real-Time 6D Object Pose Estimation on CPU—0
A Summary of the 4th International Workshop on Recovering 6D Object Pose—0
Robust 6D Object Pose Estimation in Cluttered Scenes using Semantic Segmentation and Pose Regression Networks—0
Conscious Inference for Object Detection—0
SilhoNet: An RGB Method for 6D Object Pose EstimationCode0
BOP: Benchmark for 6D Object Pose EstimationCode1
Category-level 6D Object Pose Recovery in Depth Images—0
Learning Object Localization and 6D Pose Estimation from Simulation and Weakly Labeled Real Images—0
Robust 6D Object Pose Estimation with Stochastic Congruent Sets—0
DeepIM: Deep Iterative Matching for 6D Pose EstimationCode1
6D Pose Estimation using an Improved Method based on Point Pair Features—0
iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects—0
PointFusion: Deep Sensor Fusion for 3D Bounding Box EstimationCode0
SSD-6D: Making RGB-based 3D detection and 6D pose estimation great againCode0
Real-Time Seamless Single Shot 6D Object Pose PredictionCode0
Going Further with Point Pair Features—0
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered ScenesCode1
Improving 6D Pose Estimation of Objects in Clutter via Physics-aware Monte Carlo Tree Search—0
6D Object Pose Estimation with Depth Images: A Seamless Approach for Robotic Interaction and Augmented Reality—0
Recovering 6D Object Pose: A Review and Multi-modal Analysis—0
BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using DepthCode0
T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less ObjectsCode1
PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning—0
Global Hypothesis Generation for 6D Object Pose Estimation—0
Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation—0
Uncertainty-Driven 6D Pose Estimation of Objects and Scenes From a Single RGB Image—0
Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd—0
Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images—0
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