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@InProceedings{CárdenasVidaCavaViei:2010:ToSoMi,
               author = "C{\'a}rdenas, Martha Isabel and Vidal, Creto Augusto and 
                         Cavalcante-Neto, Joaquim Bento and Vieira, Roberto C{\'e}sar 
                         Cavalcante",
          affiliation = "{Federal University of Cear{\'a}} and {Federal University of 
                         Cear{\'a}} and {Federal University of Cear{\'a}} and {Federal 
                         University of Cear{\'a}}",
                title = "Towards the Solution of the Missing Persons Problem by Simulated 
                         Reproduction of Virtual Characters",
            booktitle = "Proceedings...",
                 year = "2010",
               editor = "Bellon, Olga and Esperan{\c{c}}a, Claudio",
         organization = "Conference on Graphics, Patterns and Images, 23. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "age progression, missing person, aging.",
             abstract = "Virtual reality has applications in different fields of knowledge 
                         such as engineering, science, arts, entertainment and education. 
                         In this work, virtual reality is used to help solving the problem 
                         of missing persons. The proposed methodology uses simulated 
                         diploid reproduction of virtual characters carefully modeled 
                         taking into account the traits of the missing persons parents. The 
                         genetic characteristics of both parent's are stored into their 
                         genomic data structure, which will be used to construct pools of 
                         male and female gametes to be used in a simulated fecundation. The 
                         descendant's are generated with the same age of the missing person 
                         at the time of disappearance. Through an interactive process, a 
                         plausible model of the missing person is selected among the 
                         generated descendants and its genomic data structure is saved. The 
                         parents models and corresponding data structures are updated to 
                         reflect the age of the missing person at search time. Next, the 
                         genomic data structure of the missing person is updated with the 
                         information contained in the updated data structure of the 
                         parents, and an updated model of the missing person is generated. 
                         This updated model is a plausible model, upon which perturbations 
                         can be applied to generate several plausible variants. Case 
                         studies that demonstrate the potentials of the proposed 
                         methodology are presented.",
  conference-location = "Gramado",
      conference-year = "Aug. 30 - Sep. 3, 2010",
             language = "en",
           targetfile = "70713.2.pdf",
        urlaccessdate = "2020, Nov. 27"
}


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