Pose estimation and generating synthetic data
Budget: €250 – €750 EUR
1. Generate photorealistic simulation of laproscopic surgery in unity and unreal. (moderate)
2. Generate labelled data using perception package in unity and unreal (easy task)
3. Techniques like 3D-2D correspondence matching, feature-based tracking, or deep learning-based methods (any one method for pose estimation)
4. Any method which suits you for pose tracking
5. Any method which suits you for superimposing this 3d model in 2d camera stream.
Required skills:
1. Unity, unreal soft body simulation.
2. Pytorch or tensorflow, deep learning
3. 2 months duration to complete project
2. Generate labelled data using perception package in unity and unreal (easy task)
3. Techniques like 3D-2D correspondence matching, feature-based tracking, or deep learning-based methods (any one method for pose estimation)
4. Any method which suits you for pose tracking
5. Any method which suits you for superimposing this 3d model in 2d camera stream.
Required skills:
1. Unity, unreal soft body simulation.
2. Pytorch or tensorflow, deep learning
3. 2 months duration to complete project