@InProceedings{XavierGiGiGaRuTh:2016:ExUsDo,
               author = "Xavier, Igor Radames Rodrigues and Giraldi, Gilson and Gibson, 
                         Stuart and Gattas, Gilka Jorge Figaro and Rueckert, Daniel and 
                         Thomaz, Carlos Eduardo",
          affiliation = "Department of Eletrical Engineering, FEI, Sao Paulo, Brazil and 
                         Department of Computer Science, LNCC, Rio de Janeiro, Brazil and 
                         School of Physical Sciences, University of Kent, UK and Department 
                         of Forensic Medicine, USP, Sao Paulo, Brazil and Department of 
                         Computing, Imperial College London, UK and Department of Eletrical 
                         Engineering, FEI, Sao Paulo, Brazil",
                title = "Construction of a Spatio-Temporal Face Atlas: Experiments Using 
                         Down Syndrome Samples",
            booktitle = "Proceedings...",
                 year = "2016",
               editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and 
                         Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson 
                         A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti, 
                         David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa, 
                         Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and 
                         Santos, Jefersson dos and Schwartz, William Robson and Thomaz, 
                         Carlos E.",
         organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Face Composition, Spatio-temporal Atlases, Face Processing.",
             abstract = "This work describes a method for constructing a spatio-temporal 
                         face atlas based on pairwise non-rigid registration and kernel 
                         regression in order to explicitly consider the craniofacial 
                         differences that could exist across the time due to the subjects 
                         growth. The whole pipeline includes the following steps: (a) 
                         Facial Landmarks Positioning; (b) Sample Group Equalization and 
                         Kernel Interpolation; (c) Registration; (d) Atlas Construction. 
                         Our experiments on Down Syndrome face images show that the method 
                         generates realistic and unbiased face atlases from toddlers to 
                         teens.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
             language = "en",
                  ibi = "8JMKD3MGPAW/3MDJ8H2",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3MDJ8H2",
           targetfile = "paper10.pdf",
        urlaccessdate = "2024, May 03"
}