@InProceedings{NakanishiOnoPagNonPai:2016:PaSi3D,
               author = "Nakanishi, Rafael Umino and Ono, Jorge Piazentin and Pagliosa, 
                         Paulo and Nonato, Luis Gustavo and Paiva, Afonso",
          affiliation = "ICMC-USP and NYU and FACOM-UFMS and ICMC-USP and ICMC-USP",
                title = "Partial Similarity of 3D Shapes Using Cross Recurrence Plot",
            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 = "IEEE Computer Society´s Conference Publishing Services",
              address = "Los Alamitos",
             keywords = "Shape Retrieval, Cross Recurrence Plot, Heat Kernel Signature, 
                         Fiedler Vector, Time-Series Analysis, Geometry Processing.",
             abstract = "This paper presents a novel 3D partial shape retrieval algorithm 
                         based on time-series analysis. Given a piece of a 3D shape, the 
                         proposed method encodes the shape descriptor given by the Heat 
                         Kernel Signature (HKS) as a time-series, where the time is 
                         considered an ordered sequence of vertices provided by the Fiedler 
                         vector. Finally, a similarity metric is created using a well-known 
                         tool in time-series analysis called Cross Recurrence Plot (CRP). 
                         The good performance of our method is also attested in a large 
                         collection of shape models.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
                  doi = "10.1109/SIBGRAPI.2016.068",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2016.068",
             language = "en",
                  ibi = "8JMKD3MGPAW/3M3MBM8",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3M3MBM8",
           targetfile = "PID4350307.pdf",
        urlaccessdate = "2024, Apr. 28"
}