Browsing 35-Issue 8 by Title

Now showing items 5-10 of 10

    • Recognition‐Difficulty‐Aware Hidden Images Based on Clue‐Map 

      Zhao, Yandan; Du, Hui; Jin, Xiaogang (© 2016 The Eurographics Association and John Wiley & Sons Ltd., 2016)
      Hidden images contain one or several concealed foregrounds which can be recognized with the assistance of clues preserved by artists. Experienced artists are trained for years to be skilled enough to find appropriate hidden ...

    • Reducing Lateral Visual Biases in Displays 

      Huberman, Inbar; Fattal, Raanan (© 2016 The Eurographics Association and John Wiley & Sons Ltd., 2016)
      The human visual system is composed of multiple physiological components that apply multiple mechanisms in order to cope with the rich visual content it encounters. The complexity of this system leads to non‐trivial relations ...

    • Reviewers 

      Chen, Min and Zhang, Hao (Richard) (© 2016 The Eurographics Association and John Wiley & Sons Ltd., 2016)

    • A Survey of Real‐Time Crowd Rendering 

      Beacco, A.; Pelechano, N.; Andújar, C. (© 2016 The Eurographics Association and John Wiley & Sons Ltd., 2016)
      In this survey we review, classify and compare existing approaches for real‐time crowd rendering. We first overview character animation techniques, as they are highly tied to crowd rendering performance, and then we analyze ...

    • A Virtual Director Using Hidden Markov Models 

      Merabti, B.; Christie, M.; Bouatouch, K. (© 2016 The Eurographics Association and John Wiley & Sons Ltd., 2016)
      Automatically computing a cinematographic consistent sequence of shots over a set of actions occurring in a 3D world is a complex task which requires not only the computation of appropriate shots (viewpoints) and appropriate ...

    • Visualizing Waypoints‐Constrained Origin‐Destination Patterns for Massive Transportation Data 

      Zeng, W.; Fu, C.‐W.; Müller Arisona, S.; Erath, A.; Qu, H. (© 2016 The Eurographics Association and John Wiley & Sons Ltd., 2016)
      Origin‐destination (OD) pattern is a highly useful means for transportation research since it summarizes urban dynamics and human mobility. However, existing visual analytics are insufficient for certain OD analytical tasks ...