@InProceedings{FigueiredoIvsoCele:2018:HiSuRe,
               author = "Figueiredo, Lucas Caracas de and Ivson, Paulo and Celes Filho, 
                         Waldemar",
          affiliation = "Computer Science Department and Tecgraf Institute at Pontifical 
                         Catholic University of Rio de Janeiro - PUC-Rio, Rio de Janeiro, 
                         Brasil; Email: lucascf@tecgraf.puc-rio.br and Computer Science 
                         Department and Tecgraf Institute at Pontifical Catholic University 
                         of Rio de Janeiro - PUC-Rio, Rio de Janeiro, Brasil; Email: 
                         psantos@tecgraf.puc-rio.br and Computer Science Department and 
                         Tecgraf Institute at Pontifical Catholic University of Rio de 
                         Janeiro - PUC-Rio, Rio de Janeiro, Brasil; Email: 
                         celes@tecgraf.puc-rio.br",
                title = "Hidden Surface Removal for Accurate Painting-Area Calculation on 
                         CAD Models",
            booktitle = "Proceedings...",
                 year = "2018",
               editor = "Ross, Arun and Gastal, Eduardo S. L. and Jorge, Joaquim A. and 
                         Queiroz, Ricardo L. de and Minetto, Rodrigo and Sarkar, Sudeep and 
                         Papa, Jo{\~a}o Paulo and Oliveira, Manuel M. and Arbel{\'a}ez, 
                         Pablo and Mery, Domingo and Oliveira, Maria Cristina Ferreira de 
                         and Spina, Thiago Vallin and Mendes, Caroline Mazetto and Costa, 
                         Henrique S{\'e}rgio Gutierrez and Mejail, Marta Estela and Geus, 
                         Klaus de and Scheer, Sergio",
         organization = "Conference on Graphics, Patterns and Images, 31. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "painting area, adaptively-sampled distance fields, constructive 
                         solid geometry, CAD model.",
             abstract = "3D CAD models are widely used to improve management of large-scale 
                         engineering projects. Examples include Building Information 
                         Modeling (BIM) and Oil \& Gas industrial plants. Maintaining 
                         these facilities is a critical task that often involves 
                         anti-corrosive painting of equipment and metallic structures. 
                         Existing CAD software estimates the painting area including hidden 
                         surfaces that are not actually painted in the field. To improve 
                         these computations, we propose an approach based on 
                         Adaptively-Sampled Distance Fields (ADFs) exploiting the 
                         relationship between object areas and Constructive Solid Geometry 
                         (CSG) operations. Tests with synthetic models demonstrate that our 
                         technique achieves an accuracy of 99%. In real-world 3D CAD 
                         models, we were able to reduce the estimated area by 38% when 
                         compared to the na{\"{\i}}ve calculations. These result in 
                         significant cost savings in material provision and workforce 
                         required for maintaining these facilities.",
  conference-location = "Foz do Igua{\c{c}}u, PR, Brazil",
      conference-year = "29 Oct.-1 Nov. 2018",
                  doi = "10.1109/SIBGRAPI.2018.00008",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2018.00008",
             language = "en",
                  ibi = "8JMKD3MGPAW/3RNPB8S",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3RNPB8S",
           targetfile = "82_final.pdf",
        urlaccessdate = "2024, Apr. 29"
}