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Found 5 papers, 4 papers with code
6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics
We present a novel technique to estimate the 6D pose of objects from single images where the 3D geometry of the object is only given approximately and not as a precise 3D model.
Fusing Visual Appearance and Geometry for Multi-modality 6DoF Object Tracking
In this work, we develop a multi-modality tracker that fuses information from visual appearance and geometry to estimate object poses.
Ranked #1 on
6D Pose Estimation
on YCB-Video
A Multi-body Tracking Framework -- From Rigid Objects to Kinematic Structures
Our approach focuses on methods that employ Newton-like optimization techniques, which are widely used in object tracking.
Ranked #1 on
3D Object Tracking
on RTB
Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects
Tracking objects in 3D space and predicting their 6DoF pose is an essential task in computer vision.
Ranked #2 on
6D Pose Estimation
on OPT
SRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real World
Finally, we use a pre-rendered sparse viewpoint model to create a joint posterior probability for the object pose.
