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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 221–230 of 233 papers

TitleStatusHype
Imitrob: Imitation Learning Dataset for Training and Evaluating 6D Object Pose EstimatorsCode0
SenseShift6D: Multimodal RGB-D Benchmarking for Robust 6D Pose Estimation across Environment and Sensor VariationsCode0
SSD-6D: Making RGB-based 3D detection and 6D pose estimation great againCode0
Estimating 6D Pose From Localizing Designated Surface KeypointsCode0
Adversarial samples for deep monocular 6D object pose estimationCode0
SilhoNet: An RGB Method for 6D Object Pose EstimationCode0
Collision-aware In-hand 6D Object Pose Estimation using Multiple Vision-based Tactile SensorsCode0
Sim2Real Bilevel Adaptation for Object Surface Classification using Vision-Based Tactile SensorsCode0
Ambiguity-Aware Multi-Object Pose Optimization for Visually-Assisted Robot ManipulationCode0
Deep Learning for Spacecraft Pose Estimation from Photorealistic RenderingCode0
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