Toward Personalized Modeling: Incremental and Ensemble Alignment for Sequential Faces in the Wild

Abstract

Fitting facial landmarks on unconstrained videos is a challenging task with broad applications. Both generic and joint alignment methods have been proposed with varying degrees of success. However, many generic methods are heavily sensitive to initializations and usually rely on offline-trained static models, which limit their performance on sequential… (More)
DOI: 10.1007/s11263-017-0996-8

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