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@InProceedings{FerisCesa:2000:TrFaFe,
               author = "Feris, Rog{\'e}rio S. and Cesar Junior, Roberto M.",
                title = "Tracking facial features using Gabor wavelet networks",
                 year = "2000",
               editor = "Carvalho, Paulo Cezar Pinto and Walter, Marcelo",
                pages = "22--27",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 13. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
                 note = "The conference was held in Gramado, RS, Brazil, from October 17 to 
                         20.",
             keywords = "optical tracking, video sequences, Gabor wavelet networks, 
                         automatic facial feature tracking, discrete face template, linear 
                         combination, continuous 2D odd-Gabor wavelet functions, 2D 
                         parameters, image information, homogeneous illumination changes, 
                         affine deformations, face image, tracking approach, face geometry, 
                         facial feature deformations, eye blinking, smiling, computational 
                         resources, real time processing.",
             abstract = "The work presents a method for automatic facial feature tracking 
                         in video sequences. In this method, a discrete face template is 
                         represented as a linear combination of continuous 2D odd-Gabor 
                         wavelet functions. The weights and 2D parameters (position, scale 
                         and orientation) of each wavelet are determined optimally so that 
                         the maximum amount of image information is preserved for a given 
                         number of wavelets. We have used this representation to achieve 
                         effective facial feature tracking that is robust to homogeneous 
                         illumination changes and affine deformations of the face image. 
                         Moreover, the tracking approach considers the overall geometry of 
                         the face, being robust to facial feature deformations such as eye 
                         blinking and smiling. The number of wavelets in the representation 
                         may be chosen with respect to the available computational 
                         resources, even allowing real time processing.",
  conference-location = "Gramado, RS, Brazil",
      conference-year = "October",
         organisation = "SBC - Brazilian Computer Society",
           targetfile = "22-27.pdf",
        urlaccessdate = "2020, Nov. 28"
}


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