Material for : Adaptive Cascaded Regression

Abstract

Given a set of N such shape samples {s, . . . , s}, a parametric statistical subspace of the object’s shape variance can be retrieved by first applying Generalised Procrustes Analysis on the shapes to normalise them with respect to the global similarity transform (i.e., scale, in-plane rotation and translation) and then using Principal Component Analysis… (More)

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Cite this paper

@inproceedings{Antonakos2016MaterialF, title={Material for : Adaptive Cascaded Regression}, author={Epameinondas Antonakos and Patrick Snape and George Trigeorgis and Stefanos Zafeiriou}, year={2016} }