Now showing items 4-9 of 9

    • Deep Learning for Shape Analysis 

      Bronstein, Michael; Kalogerakis, Evangelos; Rodola, Emanuele; Masci, Jonathan; Boscaini, Davide (The Eurographics Association, 2016)
      The past decade in computer vision research has witnessed the re-emergence of deep learning, and in particular convolutional neural network (CNN) techniques, allowing to learn powerful image feature representations from ...
    • EUROGRAPHICS 2016: Tutorials Frontmatter 

      Sousa, A. Augusto; Bouatouch, Kadi (Eurographics Association, 2016)
    • The HDR-video Pipeline 

      Unger, Jonas; Banterle, Francesco; Eilertsen, Gabriel; Mantiuk, Rafał K. (The Eurographics Association, 2016)
      High dynamic range (HDR) video technology has gone through remarkable developments over the last few years; HDR-video cameras are being commercialized, new algorithms for color grading and tone mapping specifically designed ...
    • Information Theory in Visualization 

      Chen, Min; Sbert, Mateu; Shen, Han-Wei; Viola, Ivan; Bardera, Anton; Feixas, Miquel (The Eurographics Association, 2016)
      In this half-day tutorial, we review a variety of applications of information theory in visualization. The holistic nature of information-theoretic reasoning has enabled many such applications, ranging from light placement ...
    • Sketch-based Modeling 

      Cordier, Frederic; Singh, Karan; Etem, Even; Cani, Marie-Paule; Gingold, Yotam (The Eurographics Association, 2016)
      Sketching is one of the most natural ways to exchange ideas. It has been used by human beings since prehistory. Research has shown that human beings have an inherent ability to understand sketches. This is why sketch-based ...
    • Visual Attention from a Graphics Point of View 

      Holmqvist, Kenneth; Jain, Eakta; Meur, Olivier Le; Pattanaik, Sumanta N. (The Eurographics Association, 2016)
      Eye movements are a reliable indicator of overt visual attention. Because multiple factors influence where people attend in images, understanding how our attention is deployed and predicting where we look at are challenging, ...