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@InProceedings{MacêdoJúniorVitaVelh:2006:ExTrPh,
               author = "Mac{\^e}do J{\'u}nior, Ives Jos{\'e} de Albuquerque and Vital 
                         Brazil, Emilio Ashton and Velho, Luiz Carlos Pacheco Rodrigues",
          affiliation = "{IMPA - Instituto Nacional de Matem{\'a}tica Pura e Aplicada} and 
                         {IMPA - Instituto Nacional de Matem{\'a}tica Pura e Aplicada} and 
                         {IMPA - Instituto Nacional de Matem{\'a}tica Pura e Aplicada}",
                title = "Expression Transfer between Photographs through Multilinear 
                         AAM's",
            booktitle = "Proceedings...",
                 year = "2006",
               editor = "Oliveira Neto, Manuel Menezes de and Carceroni, Rodrigo Lima",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 19. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "expression transfer, face transfer, active appearance models, 
                         multilinear analysis, HOSVD, facial expression decomposition, 
                         statistical image analysis, image processing, computer vision, 
                         video rewrite/puppetry, facial animation.",
             abstract = "Expression Transfer is a method for mapping a photographed 
                         expression performed by a given subject onto the photograph of 
                         another person's face. Building on well succeeded previous works 
                         by the vision researchers (facial expression decomposition, active 
                         appearance models and multilinear analysis, we propose a novel 
                         approach for expression transfer based on color images. We attack 
                         this problem with methods developed by the computer vision 
                         community for facial expression analysis and recognition. 
                         Combining active appearance models and multilinear analysis, it's 
                         possible to suitably represent and analyze expressive facial 
                         images, while separating both style (subject's identity) and 
                         content (expressive flavor) from the captured performance.",
  conference-location = "Manaus",
      conference-year = "8-11 Oct. 2006",
             language = "en",
           targetfile = "macedo-MultilinearAAMs.pdf",
        urlaccessdate = "2020, Dec. 03"
}


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