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Creatures great and SMAL: Recovering the shape and motion of animals from video
[article]
2018
arXiv
pre-print
We present a system to recover the 3D shape and motion of a wide variety of quadrupeds from video. The system comprises a machine learning front-end which predicts candidate 2D joint positions, a discrete optimization which finds kinematically plausible joint correspondences, and an energy minimization stage which fits a detailed 3D model to the image. In order to overcome the limited availability of motion capture training data from animals, and the difficulty of generating realistic synthetic
arXiv:1811.05804v1
fatcat:palpx4lb3vh3bau7l2ursgicdy