Abstract
Depth-of-field (DOF) is an important visual cue used for computer graphics and photography to illustrate the focus of attention. In this work, we present a method for photo-realistic DOF simulation based on the characteristics of a real camera system. Both the depth-blur relation for different camera focus settings and the nonlinear intensity response of image sensors are modeled. The camera parameters are calibrated and used for defocus blur synthesis. For a well-focused real scene image, the DOF effect is generated by spatial convolution with a distance dependent circular Gaussian mask. Experiments have shown that the difference between the images synthesized using the proposed method and the real images captured by a camera is almost indistinguishable.
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References
Kolb, C., Mitchell, D., Hanrahan, P.: A realistic camera model for computer graphics. In: SIGGRAPH 1995. Proceedings of the 22nd annual conference on Computer graphics and interactive techniques, pp. 317–324. ACM Press, New York (1995)
Chen, Y.C.: Lens effect on synthetic image generation based on light particle theory. In: CG International 1987 on Computer graphics 1987, pp. 347–366. Springer, New York (1987)
Shinya, M.: Post–filtering for depth of field simulation with ray distribution buffer. In: Graphics Interface 1994, pp. 59–66 (1994)
Haeberli, P., Akeley, K.: The accumulation buffer: hardware support for high-quality rendering. In: SIGGRAPH 1990. Proceedings of the 17th annual conference on Computer graphics and interactive techniques, pp. 309–318. ACM Press, New York (1990)
Krivánek, J., Zara, J., Bouatouch, K.: Fast depth of field rendering with surface splatting. In: Computer Graphics International, pp. 196–201. IEEE Computer Society Press, Los Alamitos (2003)
Scofield, C.: \(2\frac{1}{2}\)-d depth-of-field simulation for computer animation. In: Graphics Gems III, AP Professional, pp. 36–38 (1992)
Potmesil, M., Chakravarty, I.: A lens and aperture camera model for synthetic image generation. In: SIGGRAPH 1981. Proceedings of the 8th annual conference on Computer graphics and interactive techniques, pp. 297–305. ACM Press, New York (1981)
Kraus, M., Strengert, M.: Depth-of-Field Rendering by Pyramidal Image Processing. In: Proceedings Eurographics 2007 (2007)
Debevec, P.: Rendering synthetic objects into real scenes: bridging traditional and image-based graphics with global illumination and high dynamic range photography. In: SIGGRAPH 1998. Proceedings of the 25th annual conference on Computer graphics and interactive techniques, pp. 189–198. ACM Press, New York (1998)
Jacobs, K., Loscos, C.: Classification of illumination methods for mixed reality. Computer Graphics Forum 25(23), 29–51 (2006)
Rokita, P.: Generating depth-of-field effects in virtual reality applications. IEEE Computer Graphics and Applications 16, 18–21 (1996)
Mulder, J.D., van Liere, R.: Fast perception-based depth of field rendering. In: VRST 2000. Proceedings of the ACM symposium on Virtual reality software and technology, pp. 129–133. ACM Press, New York (2000)
Debevec, P.E., Malik, J.: Recovering high dynamic range radiance maps from photographs. In: SIGGRAPH 1997. Proceedings of the 24th annual conference on Computer graphics and interactive techniques, pp. 369–378. ACM Press, New York (1997)
Schanz, M., Nitta, C., Bussman, A., Hosticka, B.J., Wertheimer, R.K.: A high-dynamic-range cmos image sensor for automotive applications. IEEE Journal of Solid-State Circuits 35, 932–938 (2000)
Lin, H., Chang, C.: Photo-consistent motion blur modeling for realistic image synthesis. In: Advances in Image and Video Technology, pp. 1273–1282 (2006)
Chaudhuri, S., Rajagopalan, A.: Depth from Defocus: A Real Aperture Imaging Approach. Springer, Heidelberg (1998)
Kakimoto, M., Tatsukawa, T., Mukai, Y., Nishita, T.: Interactive simulation of the human eye depth of field and its correction with spectacle lenses. In: Proceedings Eurographics 2007 (2007)
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Lin, HY., Gu, KD. (2007). Photo-Realistic Depth-of-Field Effects Synthesis Based on Real Camera Parameters. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2007. Lecture Notes in Computer Science, vol 4841. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76858-6_30
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DOI: https://doi.org/10.1007/978-3-540-76858-6_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76857-9
Online ISBN: 978-3-540-76858-6
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