Browsing VVG: Vision, Video, and Graphics by Title

Now showing items 61-67 of 67

    • Use and Re-use of Facial Motion CaptureData 

      Lorenzo, M.S.; Edge, J.D.; King, S.A.; Maddock, S. (The Eurographics Association, 2003)
      Motion capture (mocap) data is commonly used to recreate complex human motions in computer graphics. Markers are placed on an actor, and the captured movement of these markers allows us to animate computer-generated ...

    • Use of Computer Vision/ Computer Graphics Collaboration for 3D Rotoscopy 

      Gagalowicz, André (The Eurographics Association, 2005)
      This talk introduces 3D rotoscopy and its role in post-production applications, and the computer vision/computer graphics strategies used. The case of rigid objects is presented first, for which well-established approaches ...

    • User Interfaces for Mobile Augmented Reality Systems 

      Feiner, Steve (The Eurographics Association, 2003)
      What should user interfaces look like when they become an integral part of how we experience the world around us? This talk provides an overview of work that explores user interface design issues for mobile augmented reality ...

    • A Vision-Based Location System using Fiducials 

      Johnston, D.J.; Clark, A.F. (The Eurographics Association, 2003)
      A system for vision-based ego location using 'targets' or 'fiducials' is described. The system is robust and operates on commodity hardware in real time. The accuracy of the system is assessed and found to be good enough ...

    • Visual Modeling: Unifying Graphics and Vision 

      Terzopoulos, Demetri (The Eurographics Association, 2005)
      The computer vision and computer graphics fields have been developing largely independently since their genesis in the early 1960s. However, there is now a significant amount of exciting research at the intersection of ...

    • Visual Recognition of Man-made Materials and Structures in an Office Environment 

      Song, Y. Z.; Town, C. P. (The Eurographics Association, 2005)
      This paper demonstrates a new approach towards object recognition founded on the development of Neural Network classifiers and Bayesian Networks. The mapping from segmented image region descriptors to semantically meaningful ...

    • Visualising Video Sequences using Direct Volume Rendering 

      Daniel, G.; Chen, M. (The Eurographics Association, 2003)
      It is evident that more and more video data is being generated everyday, for example, by TV broadcast companies and security cameras. However, whilst we are overwhelmed by the huge amount of imagery data, machine vision ...