3DObjectTracking
ANMS-Codes
| 3DObjectTracking | ANMS-Codes | |
|---|---|---|
| 1 | 1 | |
| 599 | 323 | |
| 1.5% | - | |
| 3.3 | 2.7 | |
| 11 months ago | over 2 years ago | |
| C++ | C++ | |
| MIT License | MIT License |
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3DObjectTracking
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6DOF Object Pose Estimation usable for Unity
Hey, just to let you know if you're interested I'm implementing this now: https://github.com/DLR-RM/3DObjectTracking/tree/master/RBGT
ANMS-Codes
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Implement non-maximum supression to keep only local maximum for your detected corner pixels
Maybe this resource may help you anms But I am not sure if it is exactly what you intend to do
What are some alternatives?
MocapNET - We present 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 neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance
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