kristijanbartol/general-3d-humans
[CVPR 2022 Oral] Generalizable Human Pose Triangulation
This tool helps researchers and computer vision practitioners accurately estimate 3D human poses from multiple camera views, even with new camera setups. You provide 2D keypoint detections of a person from different camera angles, and it outputs their estimated 3D pose, robustly handling varied camera placements. It's ideal for anyone analyzing human movement across different recording environments.
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Use this if you need to determine the 3D pose of a person from video footage captured by multiple cameras, especially when those cameras have different or changing arrangements.
Not ideal if you only have a single camera view or do not have pre-extracted 2D human keypoints from your images.
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62
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Language
Python
License
MIT
Category
Last pushed
Feb 14, 2023
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