Browsing by Author "Pajarola, Renato"

Now showing items 1-16 of 16

    • DanceMoves: A Visual Analytics Tool for Dance Movement Analysis 

      Arpatzoglou, Vasiliki; Kardara, Artemis; Diehl, Alexandra; Flueckiger, Barbara; Helmer, Sven; Pajarola, Renato (The Eurographics Association, 2021)
      Analyzing body movement as a means of expression is of interest in diverse areas, such as dance, sports, films, as well as anthropology or archaeology. In particular, in choreography, body movements are at the core of ...

    • Enhanced Reconstruction of Architectural Wall Surfaces for 3D Building Models 

      Michailidis, Georgios-Tsampikos; Pajarola, Renato (The Eurographics Association, 2019)
      The reconstruction of architectural structures from 3D building models is a challenging task and a lot of research has been done in recent years. However, most of this work is focused mainly on reconstructing accurately ...

    • Hornero: Thunderstorms Characterization using Visual Analytics 

      Diehl, Alexandra; Pelorosso, Rodrigo; Ruiz, Juan; Pajarola, Renato; Gröller, M. Eduard; Bruckner, Stefan (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Analyzing the evolution of thunderstorms is critical in determining the potential for the development of severe weather events. Existing visualization systems for short-term weather forecasting (nowcasting) allow for basic ...

    • Large‐Scale Pixel‐Precise Deferred Vector Maps 

      Thöny, Matthias; Billeter, Markus; Pajarola, Renato (© 2018 The Eurographics Association and John Wiley & Sons Ltd., 2018)
      Rendering vector maps is a key challenge for high‐quality geographic visualization systems. In this paper, we present a novel approach to visualize vector maps over detailed terrain models in a pixel‐precise way. Our method ...

    • LOCALIS: Locally-adaptive Line Simplification for GPU-based Geographic Vector Data Visualization 

      Amiraghdam, Alireza; Diehl, Alexandra; Pajarola, Renato (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Visualization of large vector line data is a core task in geographic and cartographic systems. Vector maps are often displayed at different cartographic generalization levels, traditionally by using several discrete ...

    • LOOPS: LOcally Optimized Polygon Simplification 

      Amiraghdam, Alireza; Diehl, Alexandra; Pajarola, Renato (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Displaying polygonal vector data is essential in various application scenarios such as geometry visualization, vector graphics rendering, CAD drawing and in particular geographic, or cartographic visualization. Dealing ...

    • Multi-Display Ray Tracing Framework 

      Romero Calla, Luciano Arnaldo; Mohanto, Bipul; Pajarola, Renato; Staadt, Oliver (The Eurographics Association, 2023)
      We present a framework that will provide a highly efficient and scalable multi-display ray-tracing based rendering system capable of utilizing multiple GPU devices to produce high-quality images. Our system integrates ...

    • PPSurf: Combining Patches and Point Convolutions for Detailed Surface Reconstruction 

      Erler, Philipp; Fuentes‐Perez, Lizeth; Hermosilla, Pedro; Guerrero, Paul; Pajarola, Renato; Wimmer, Michael (© 2024 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2024)
      3D surface reconstruction from point clouds is a key step in areas such as content creation, archaeology, digital cultural heritage and engineering. Current approaches either try to optimize a non‐data‐driven surface ...

    • A Robust Feature-aware Sparse Mesh Representation 

      Fuentes Perez, Lizeth Joseline; Romero Calla, Luciano Arnaldo; Montenegro, Anselmo Antunes; Mura, Claudio; Pajarola, Renato (The Eurographics Association, 2020)
      The sparse representation of signals defined on Euclidean domains has been successfully applied in signal processing. Bringing the power of sparse representations to non-regular domains is still a challenge, but promising ...

    • SenVis: Interactive Tensor-based Sensitivity Visualization 

      Yang, Haiyan; Ballester-Ripoll, Rafael; Pajarola, Renato (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Sobol's method is one of the most powerful and widely used frameworks for global sensitivity analysis, and it maps every possible combination of input variables to an associated Sobol index. However, these indices are often ...

    • State-of-the-art in Automatic 3D Reconstruction of Structured Indoor Environments 

      Pintore, Giovanni; Mura, Claudio; Ganovelli, Fabio; Fuentes-Perez, Lizeth Joseline; Pajarola, Renato; Gobbetti, Enrico (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Creating high-level structured 3D models of real-world indoor scenes from captured data is a fundamental task which has important applications in many fields. Given the complexity and variability of interior environments ...

    • Unfolding via Mesh Approximation using Surface Flows 

      Zawallich, Lars; Pajarola, Renato (The Eurographics Association and John Wiley & Sons Ltd., 2024)
      Manufacturing a 3D object by folding from a 2D material is typically done in four steps: 3D surface approximation, unfolding the surface into a plane, printing and cutting the outline of the unfolded shape, and refolding ...

    • VIAN: A Visual Annotation Tool for Film Analysis 

      Halter, Gaudenz; Ballester-Ripoll, Rafael; Flueckiger, Barbara; Pajarola, Renato (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      While color plays a fundamental role in film design and production, existing solutions for film analysis in the digital humanities address perceptual and spatial color information only tangentially. We introduce VIAN, a ...

    • VisGuided: A Community-driven Approach for Education in Visualization 

      Diehl, Alexandra; Firat, Elif E.; Torsney-Weir, Thomas; Abdul-Rahman, Alfie; Bach, Benjamin; Laramee, Robert; Pajarola, Renato; Chen, Min (The Eurographics Association, 2021)
      We propose a novel educational approach for teaching visualization, using a community-driven and participatory methodology that extends the traditional course boundaries from the classroom to the broader visualization ...

    • Visual-assisted Outlier Preservation for Scatterplot Sampling 

      Yang, Haiyan; Pajarola, Renato (The Eurographics Association, 2023)
      Scatterplot sampling has long been an efficient and effective way to resolve the overplotting issues commonly occurring in large-scale scatterplot visualization applications. However, it is challenging to preserve the ...

    • Walk2Map: Extracting Floor Plans from Indoor Walk Trajectories 

      Mura, Claudio; Pajarola, Renato; Schindler, Konrad; Mitra, Niloy (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Recent years have seen a proliferation of new digital products for the efficient management of indoor spaces, with important applications like emergency management, virtual property showcasing and interior design. While ...