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Learning camera viewpoint using CNN to improve 3D body pose estimation
[article]
2016
arXiv
pre-print
The objective of this work is to estimate 3D human pose from a single RGB image. Extracting image representations which incorporate both spatial relation of body parts and their relative depth plays an essential role in accurate3D pose reconstruction. In this paper, for the first time, we show that camera viewpoint in combination to 2D joint lo-cations significantly improves 3D pose accuracy without the explicit use of perspective geometry mathematical models.To this end, we train a deep
arXiv:1609.05522v1
fatcat:77uajppkdffwjegpp2zxfgwhg4