Silhouette is an important research issue in the field of Non-Photorealistic Rendering (NPR) and it is also a popular drawing feature in illustrations and line-drawing artworks. In this paper, we present a real-time image-based stylized rendering system. First, we project a 3D model to image-space. Then we extract edges in the image-space data. We perform edge-detection algorithms on GPU (Graphics Processing Units) for speedup. GPU is good at floating-points calculating and processing with parallelism. Both features match the property of most image processing tasks. Our system can run at an interactive frame rate when combining our edge-detection algorithms with graphic hardware architecture. We demonstrate that this system performance can reach real-time and render images in good NPR style.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Real-Time Image-Based Stylistic Rendering Using Graphics Hardware Acceleration


    Contributors:


    Publication date :

    2007-04-01


    Size :

    6589037 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Lidar simulation using graphics hardware acceleration

    Peinecke, Niklas / Lueken, Thomas / Korn, Bernd R. | IEEE | 2008


    Simulation of imaging radar using graphics hardware acceleration

    Peinecke, Niklas / Döhler, Hans-Ullrich / Korn, Bernd R. | SPIE | 2008


    Graphics Hardware Acceleration for Rotorcraft Brownout Simulation

    Lohry, Mark / Ghosh, Sayan / Rajagopalan, Ganesh | AIAA | 2011


    Acceleration of a 3D Euler Solver Using Commodity Graphics Hardware

    Brandvik, Tobias / Pullan, Graham | AIAA | 2008


    Simulation of imaging radar using graphics hardware acceleration [6957-20]

    Peinecke, N. / Dohler, H.-U. / Korn, B.R. et al. | British Library Conference Proceedings | 2008