Real-time depth-of-field rendering using point splatting on per-pixel layers

Computer Graphics Forum

Volumn 27, Issue 7, 2008, Pages 1955-1962

  Lee, Sungkil ^a   Kim, Gerard Jounghyun ^b   Choi, Seungmoon ^a  

^a Pohang University of Science and Technology (POSTECH)   (South Korea)

^b Korea University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

RENDERING (COMPUTER GRAPHICS);

DEPTH OF FIELD; FOREGROUND OBJECTS; HIGH QUALITY; INTERACTIVE APPLICATIONS; MISSING INFORMATION; PARTIAL OCCLUSIONS; POST PROCESSING; REAL TIME METHODS;

PIXELS;

EID: 59049092828     PISSN: 01677055     EISSN: 14678659     Source Type: Journal    
DOI: 10.1111/j.1467-8659.2008.01344.x     Document Type: Article

References (24)

1. Akenine-Möller T., Munkberg J., Hasselgren J. : Stochastic rasterization using time-continuous triangles. In Proc. Graphics Hardware (2007 pp. 7 16.
2. Barsky B. A., Bargteil A. W., Garcia D. D., Klein S. A. : Introducing vision-realistic rendering. In Proc. Eurographics Rendering Workshop (2002 pp. 26 28.
3. Bertalmío M., Fort P., Sánchez-Crespo D. : Real-time, accurate depth of field using anisotropic diffusion and programmable graphics cards. In Proc. 3DPVT (2004 pp. 767 773.
4. Barsky B., Tobias M., Chu D., Horn D. : Elimination of artifacts due to occlusion and discretization problems in image space blurring techniques. Graphical Models 67 (2005 584 599.
5. Buhler J., Wexler D. : A phenomenological model for bokeh rendering. In ACM SIGGRAPH abstracts and applications (2002).
6. Chen Y. C. : Lens effect on synthetic image geneartion based on light particle theory. The Visual Computer 3, 3 (1987 125 136.
7. Cook R. L. : Stochastic sampling in computer graphics. ACM Trans. on Graphics 5, 1 (1986 51 72.
8. Cook R. L., Porter T., Carpenter L. : Distributed ray tracing. Computer Graphics 18, 3 (1984 137 145.
9. Demers J. : Depth of field in the 'toys' demo. In Game Developers Conference (2003).
10. Debevec P. E., Malik J. : Recovering high dynamic range radiance maps from photographs. Proc. ACM SIGGRAPH (1997 369 378.
11. Earl Hammon J. : Practical post-process depth of field. In GPU Gems 3, Nguyen, H. Ed.). Addison-Wesley, 2007, ch. 28, pp. 583 606.
12. Haeberli P., Akeley K. : The accumulation buffer: Hardware support for high-quality rendering. In Proc. ACM SIGGRAPH (1990 pp. 309 318.
13. Kass M., Lefohn A., Owens J. : Interactive Depth of Field Using Simulated Diffusion on a GPU. Tech. rep., Pixar Animation Studios, 2006.
14. Kraus M., Strengert M. : Depth-of-field rendering by pyramidal image processing. Computer Graphics Forum 26, 3 (2007).
15. Landis H. : Production-ready global illumination. ACM SIGGRAPH Course Note, 2002.
16. Mulder J. D., van Liere R. : Fast perception-based depth of field rendering. In Proc. VRST (2000 pp. 129 133.
17. Potmesil M., Chakravarty I. : A lens and aperture camera model for synthetic image generation. Proc. ACM SIGGRAPH 15, 3 (1981 297 305.
18. Rokita P. : Generating depth-of-field effects in virtual reality applications. IEEE Computer Graphics and its Application 16, 2 (1996 18 21.
19. Reinhard E., Stark M., Shirley P., Ferwerda J. : Photographic tone reproduction for digital images. In Proc. ACM SIGGRAPH (2002 pp. 267 276.
20. 2: Shader Programming Tips and Tricks with DirectX 9, Engel, W. F. Ed.). Wordware, 2003, ch. 4, pp. 529 556.
21. Scheuermann T. : Advanced depth of field. In Game Developers Conference (2004).
22. Scofíeld C. : 2.5d depth-of-field simulation for computer animation. In Graphics Gems III, Kirk, D. Ed.). Morgan Kauffman, 1994, ch. 1.8, pp. 36 38.
23. 500 3D Objects. Taschen, 2002. ISBN 4-88783-133-1.
24. Zhou T., Chen J. X., Pullen M. : Accurate depth of field simulation in real time. Computer Graphics Forum 26, 1 (2007).