Browsing CEIG19 by Subject "Computing methodologies"

Now showing items 1-10 of 10

    • 3D Environment Understanding in Real-time Using Input CAD Models for AR Applications 

      Rodríguez, David Jurado; Rodríguez, Juan Manuel Jurado; Alvarado, Lidia Ortega; Higueruela, Francisco Ramón Feito (The Eurographics Association, 2019)
      The automatic recognition of real environments has become a relevant issue for multiple purposes in computer graphics, computer vision and artificial intelligence. In this work, we focus on environment understanding according ...

    • A Level-of-Detail Technique for Urban Physics Calculations in Large Urban Environments 

      Novoa, David Muñoz; Besuievsky, Gonzalo; Patow, Gustavo (The Eurographics Association, 2019)
      In many applications, such as urban physics simulations or the study of the solar impact effects at different scales, complex 3D city models are required to evaluate physical values. In this paper we present a new technique ...

    • Modal Locomotion of C. elegans 

      Mujika, Andoni; Merino, Sara; Leškovský, Peter; Epelde, Gorka; Oyarzun, David; Otaduy, Miguel Angel (The Eurographics Association, 2019)
      Caenorhabditis elegans (C. elegans) is a roundworm that, thanks to its combination of biological simplicity and behavioral richness, offers an excellent opportunity for initial experimentation of many human diseases. In ...

    • Perfect Spatial Hashing for Point-cloud-to-mesh Registration 

      Mejia-Parra, Daniel; Lalinde-Pulido, Juan; Sánchez, Jairo R.; Ruiz-Salguero, Oscar; Posada, Jorge (The Eurographics Association, 2019)
      Point-cloud-to-mesh registration estimates a rigid transformation that minimizes the distance between a point sample of a surface and a reference mesh of such a surface, both lying in different coordinate systems. ...

    • Procedural Location of Roads Using Desire Paths 

      Real, Pablo; Martínez-Gil, Francisco; Martínez-Durá, Rafael J.; García-Fernández, Ignacio (The Eurographics Association, 2019)
      Procedural modelling of realistic environments that include elements derived from human activity can largely reduce production cost in animation, video-games and feature films. We address the problem of placing roads and ...

    • Sensitivity Analysis in Shape Optimization using Voxel Density Penalization 

      Montoya-Zapata, Diego; Acosta, Diego A.; Moreno, Aitor; Posada, Jorge; Ruiz-Salguero, Oscar (The Eurographics Association, 2019)
      Shape optimization in the context of technical design is the process by which mechanical demands (e.g. loads, stresses) govern a sequence of piece instances, which satisfy the demands, while at the same time evolving towards ...

    • View-dependent Hierarchical Rendering of Massive Point Clouds through Textured Splats 

      Comino Trinidad, Marc; Calaf, Antonio Chica; Gran, Carlos Andújar (The Eurographics Association, 2019)
      Nowadays, there are multiple available range scanning technologies which can capture extremely detailed models of realworld surfaces. The result of such process is usually a set of point clouds which can contain billions ...

    • A Virtual Reality Front-end for City Modeling 

      Rando, Eduard; Andujar, Carlos; Patow, Gustavo A. (The Eurographics Association, 2019)
      Current tools for city modeling, including those supporting procedural techniques, have a steep learning curve and require substantial user input and/or skills to create realistic 3D models of cities. In this paper we ...

    • A Virtual Reality Front-End for Earthquake Simulation 

      Fita, Josep Lluis; Besuievsky, Gonzalo; Patow, Gustavo A. (The Eurographics Association, 2019)
      Virtual Reality has traditionally been used in Cultural Heritage for giving to the final user an immersive experience over recreated scenarios, which usually have been designed and focused on static environment recreation. ...

    • A Voxel-based Deep Learning Approach for Point Cloud Semantic Segmentation 

      Díaz-Medina, Miguel; Fuertes-García, José Manuel; Ogayar-Anguita, Carlos Javier; Lucena, Manuel (The Eurographics Association, 2019)
      Semantic segmentation has been a research topic in computer vision for decades. This task has become a crucial challenge nowadays due to emergence of new technologies such as autonomous driving. Nonetheless, most existing ...