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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

Showing 211220 of 233 papers

TitleStatusHype
BOP: Benchmark for 6D Object Pose EstimationCode1
Category-level 6D Object Pose Recovery in Depth Images0
Learning Object Localization and 6D Pose Estimation from Simulation and Weakly Labeled Real Images0
Robust 6D Object Pose Estimation with Stochastic Congruent Sets0
DeepIM: Deep Iterative Matching for 6D Pose EstimationCode1
6D Pose Estimation using an Improved Method based on Point Pair Features0
iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects0
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
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