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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 211–220 of 233 papers

TitleStatusHype
CVAM-Pose: Conditional Variational Autoencoder for Multi-Object Monocular Pose EstimationCode0
PoseMatcher: One-shot 6D Object Pose Estimation by Deep Feature MatchingCode0
PointFusion: Deep Sensor Fusion for 3D Bounding Box EstimationCode0
Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose EstimationCode0
Modular Quantization-Aware Training for 6D Object Pose EstimationCode0
Vision-based Robotic Grasping From Object Localization, Object Pose Estimation to Grasp Estimation for Parallel Grippers: A ReviewCode0
Level-Set Parameters: Novel Representation for 3D Shape AnalysisCode0
LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose EstimationCode0
Segmentation-driven 6D Object Pose EstimationCode0
Implicit 3D Orientation Learning for 6D Object Detection from RGB ImagesCode0
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