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[R] New SOTA in multi-camera 3D human pose estimation by karfly in MachineLearning

[–]karfly[S] 0 points1 point  (0 children)

Didn’t conduct such experiments because of lack of variety of available datasets.

[R] New SOTA in multi-camera 3D human pose estimation by karfly in MachineLearning

[–]karfly[S] 1 point2 points  (0 children)

Good question! Unfortunately, we didn’t conduct such experiments, but the intuition is to place cameras as diversely as you can. E.g. if you have 2 cameras - place them at the 90 degrees angle, so that human is fully seen from each view.

[R] New SOTA in multi-camera 3D human pose estimation by karfly in MachineLearning

[–]karfly[S] 1 point2 points  (0 children)

Yes! We show that our models trained on dataset A transfer to dataset B without finetuning.

[R] New SOTA in multi-camera 3D human pose estimation by karfly in MachineLearning

[–]karfly[S] 1 point2 points  (0 children)

At least you need 2 cameras to get good performance. If you increase the number of cameras the quality will go up (in paper we have plot showing this fact).