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

Author

Chiang, Chun-Chung ; Hsueh, Yu-Hung ; Liu, Damon Shing-Min

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., National Chung Cheng Univ., Chiayi

fYear

2007

fDate

1-5 April 2007

Firstpage

438

Lastpage

443

Abstract

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

Keywords

edge detection; rendering (computer graphics); solid modelling; 3D model; edge detection; edge extraction; floating point; graphics hardware acceleration; graphics processing unit; image processing; line-drawing artworks; nonphotorealistic rendering; real-time image-based stylistic rendering; Acceleration; Graphics; Hardware; Image processing; Layout; Parallel processing; Pipelines; Real time systems; Rendering (computer graphics); Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Honolulu, HI

Print_ISBN

1-4244-0707-9

Type

conf

DOI

10.1109/CIISP.2007.369209

Filename

4221459