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@InProceedings{MedalhaPaglPaivPagl:2017:LeMoDy,
               author = "Medalha, Andr{\'e} and Pagliosa, Lucas and Paiva, Afonso and 
                         Pagliosa, Paulo",
          affiliation = "FACOM-UFMS and ICMC-USP and ICMC-USP and FACOM-UFMS",
                title = "Least-squares Morphing of Dynamic Meshes",
            booktitle = "Proceedings...",
                 year = "2017",
               editor = "Torchelsen, Rafael Piccin and Nascimento, Erickson Rangel do and 
                         Panozzo, Daniele and Liu, Zicheng and Farias, Myl{\`e}ne and 
                         Viera, Thales and Sacht, Leonardo and Ferreira, Nivan and Comba, 
                         Jo{\~a}o Luiz Dihl and Hirata, Nina and Schiavon Porto, Marcelo 
                         and Vital, Creto and Pagot, Christian Azambuja and Petronetto, 
                         Fabiano and Clua, Esteban and Cardeal, Fl{\'a}vio",
         organization = "Conference on Graphics, Patterns and Images, 30. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "morphing, cross-parameterization, least-squares meshes, dynamic 
                         meshes.",
             abstract = "Morphing is a technique that smoothly transforms a shape onto 
                         another. In this paper, we present a method for morphing of two 
                         dynamic meshes: mesh sequences representing the keyframes of 
                         animated shapes over time. The pipeline of the proposed method 
                         comprises two main stages: template-based cross-parameterization 
                         and dynamic mesh interpolation. In the cross-parameterization 
                         stage, we use a variation of least-squares (LS) meshes to provide 
                         a coarse approximation of the geometry of the source mesh onto the 
                         target mesh. In our method, the possible candidates for initial 
                         control points of the LS-mesh are detected using an approach based 
                         on the Heat Kernel Signature (HKS). Then, an iterative process of 
                         fine fitting adds new constraints in the LS-mesh processing. The 
                         cross-parameterization is performed just once for any two frames 
                         in order to establish a full correspondence between vertices of 
                         the source and target meshes. Next, we use such a correspondence 
                         in the dynamic mesh interpolation stage to produce the morphing 
                         results. The method is entirely mesh-based and does not demand the 
                         generation of skeletons, mesh segmentation or the use of any 
                         additional control structures. Moreover, it does not require the 
                         two input meshes to share the same number of vertices or 
                         triangles, or to have the same connectivity. The provided results 
                         show the robustness and effectiveness of our method.",
  conference-location = "Niter{\'o}i, RJ",
      conference-year = "Oct. 17-20, 2017",
             language = "en",
           targetfile = "paper.pdf",
        urlaccessdate = "2021, Jan. 26"
}


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