Pose Estimation Blocks
Orientation Regularized Network
Introduced by Zhang et al. in Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric ApproachOrientation Regularized Network (ORN) is a multi-view image fusion technique for pose estimation. It uses IMU orientations as a structural prior to mutually fuse the image features of each pair of joints linked by IMUs. For example, it uses the features of the elbow to reinforce those of the wrist based on the IMU at the lower-arm.
Source: Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric Approach
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| 3D Absolute Human Pose Estimation | 1 | 33.33% |
| 3D Human Pose Estimation | 1 | 33.33% |
| Pose Estimation | 1 | 33.33% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
