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

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3 Author(s)
Chun-Chung Chiang ; Dept. of Comput. Sci. & Inf. Eng., National Chung Cheng Univ., Chiayi ; Yu-Hung Hsueh ; Damon Shing-Min Liu

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

Published in:

Computational Intelligence in Image and Signal Processing, 2007. CIISP 2007. IEEE Symposium on

Date of Conference:

1-5 April 2007