Methods › Computer Vision › Pose Estimation Blocks › ORN

Orientation Regularized Network

ORN

2 papers tagged archive 2025-07-28

Introduced by Zhe Zhang et al. in Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric Approach

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

Orientation 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.

PaperSource

Papers archive 2025-07-28

2 shown of 2, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

4 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
2D Pose Estimation1
3D Absolute Human Pose Estimation1
3D Human Pose Estimation1
Pose Estimation1

Usage over time archive 2025-07-28

Papers per year tagged with ORN: 2020 to 2025, peak 1 1 0 2020: 1 paper 2020 2021: 0 papers 2021 2022: 0 papers 2022 2023: 0 papers 2023 2024: 0 papers 2024 2025: 1 paper 2025
Papers per year the archive tags with this method, by the paper's archive date (2 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Pose Estimation Blocks

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