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Fast Algorithms for Fitting Active Appearance Models to Unconstrained Images
2016
International Journal of Computer Vision
Fitting algorithms for Active Appearance Models (AAMs) are usually considered to be robust but slow or fast but less able to generalize well to unseen variations. In this paper, we look into AAM fitting algorithms and make the following orthogonal contributions: We present a simple "project-out" optimization framework that unifies and revises the most well-known optimization problems and solutions in AAMs. Based on this framework, we describe robust simultaneous AAM fitting algorithms the
doi:10.1007/s11263-016-0950-1
pmid:32269419
pmcid:PMC7114981
fatcat:ng7v3bybv5elhowett27cigvxy