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Fast Algorithms for Fitting Active Appearance Models to Unconstrained Images
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” opt...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7114981/ https://www.ncbi.nlm.nih.gov/pubmed/32269419 http://dx.doi.org/10.1007/s11263-016-0950-1 |