@InProceedings{SouzaApol:2015:AdApRe,
               author = "Souza, Antonio Carlos dos Santos and Apolin{\'a}rio J{\'u}nior, 
                         Ant{\^o}nio Lopes",
          affiliation = "{Federal Institute of Bahia} and {Federal University of Bahia}",
                title = "An Adaptive Approach to Real-Time 3D Non-Rigid Registration",
            booktitle = "Proceedings...",
                 year = "2015",
               editor = "Segundo, Maur{\'{\i}}cio Pamplona and Faria, Fabio Augusto",
         organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "adaptive algorithms, augmented reality, non-rigid registration.",
             abstract = "3D non-rigid registration is fundamental for tracking or 
                         reconstruction of 3D deformable shapes. Fast methods for 3D 
                         non-rigid registration are particularly interesting for markerless 
                         augmented reality applications, in which the object being used as 
                         a natural marker may undergo a non-rigid user interaction. Here, 
                         we present a multi-frame adaptive algorithm for 3D non-rigid 
                         registration implemented on GPU where the 3D data is captured from 
                         an RGB-D camera. In this work, adaptivity is used in three stages 
                         of the process. First, to guide the distribution of regions of 
                         influence based on the deformation intensity on some region of the 
                         shape. Second, during the selection of constraints, where the 
                         sampling done over the object for the optimization is based on the 
                         current deformation. Third, to apply the algorithm in a 
                         multi-frame manner only when the rigid tracking error is above a 
                         pre-defined threshold. The results obtained show that the proposed 
                         algorithm is capable to achieve real-time performance with an 
                         approach as accurate as the ones proposed in the literature.",
  conference-location = "Salvador, BA, Brazil",
      conference-year = "26-29 Aug. 2015",
             language = "en",
                  ibi = "8JMKD3MGPBW34M/3JUHHEB",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3JUHHEB",
           targetfile = "PhdSIBGRAPI2015.pdf",
        urlaccessdate = "2024, May 05"
}