Process
Object pose estimation
You might say: 6D pose
6D pose estimation finds an object's 3D position and orientation from image or depth data, often using a known object model.
- What it does
- Provides the object frame that a grasp or placement planner uses.
- Ask
- What position and angle error is acceptable, and how are symmetric objects scored?
- Typical
- BOP evaluates 6D pose methods on multiple datasets with pose-error functions and separate evaluation of ambiguity.
What to look for
- Object 3D position and orientation
- Pose from image or depth data
- Object frame for grasping or placement
- Position and angle error
Sources
- Tomas Hodan et al., BOP: Benchmark for 6D Object Pose Estimation, Abstract and benchmark description
We propose a benchmark for 6D pose estimation of a rigid object from a single RGB-D input image.
- Peter Corke, Robotics, Vision and Control, Ch. 14, Using Multiple Images
This allowed us to estimate the object's 3-dimensional pose from the 2-dimensional image data.
Use it on your project
teardown-apply: hold "Object pose estimation" (pose-estimation) from the teardown at https://teardownatlas.com/robotics/ against my project
Paste it into a coding agent that has the teardown skills.
An AI agent wrote this map with the teardown skill. It can contain errors: check the sources before you rely on a part. About and legal