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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 )

Title	Date	Tasks	Status
Uncertainty-Driven 6D Pose Estimation of Objects and Scenes From a Single RGB Image	Jun 1, 2016	6D Pose Estimation6D Pose Estimation using RGB	—Unverified
Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd	Dec 23, 2015	6D Pose Estimation6D Pose Estimation using RGB	—Unverified
Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images	Aug 19, 2015	6D Pose Estimation6D Pose Estimation using RGB	—Unverified

Title

Status

Hype

Uncertainty-Driven 6D Pose Estimation of Objects and Scenes From a Single RGB Image

—Unverified

Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd

—Unverified

Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images

—Unverified

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6D Pose Estimation using RGB

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