FORTH-ModelBasedTracker / MocapNET
A real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned
- Repository stars
- 956All-time #41,452
- Fork
- 144
- Last push
- updated 2 months ago
- Repository created
- since 2019
About
A real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tunedSummarised by AI from the README; the original prevails
Author description: A real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned
Basic listing based on official public information; functionality has not been independently evaluated.
Check before adopting
- No license declared: commercial use and redistribution terms are unknown.
- Pricing
- Pricing not verifiedCheck current official software, hosting, model and infrastructure pricing.