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Bokeh Effects Based on Stereo Vision

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Computer Analysis of Images and Patterns (CAIP 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9256))

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Abstract

Bokeh, a sought-after photo rendering style of out-of-focus blur, typically aims at an aesthetic quality which is not available to low-end consumer grade cameras due to the lens design. We present a bokeh simulation method using stereo-vision techniques. We refine a depth map obtained with stereo matching with a little user interaction. A depth-aware bokeh effect is then applied with user-adjustable apertures sizes or shapes. Our method mainly aims at the visual quality of the bokeh effect rather than time efficiency. Experiments show that our results are natural-looking, and can be similar to the bokeh effect of a real-world bokeh-capable camera system.

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References

  1. Abbott, J., Morse, B.: Interactive depth-aware effects for stereo image editing. In: Proc. 3DTV-Conf., pp. 263–270 (2013)

    Google Scholar 

  2. Demers, J.: Depth of field: a survey of techniques. In: Fernando, R. (ed.) GPU Gems, pp. 375–390. Addison Wesley (2004)

    Google Scholar 

  3. Hirschmüller, H.: Accurate and efficient stereo processing by semi-global matching and mutual information. In: Proc. CVPR, pp. 807–814 (2005)

    Google Scholar 

  4. Klette, R.: Concise Computer Vision: An Introduction into Theory and Algorithms. Springer, London (2014)

    Book  Google Scholar 

  5. Klette, R., Rosenfeld, A.: Digital Geometry: Geometric Methods for Digital Picture Analysis. Morgan Kaufmann, San Francisco (2004)

    Google Scholar 

  6. Kopf, J., Cohen, M.F., Lischinski, D., Uyttendaele, M.: Joint bilateral upsampling. ACM Tran. Graphics 26, no. 96 (2007)

    Google Scholar 

  7. Kraus, M., Strengert, M.: Depth-of-field rendering by pyramidal image processing. Computer Graphics Forum 26(3), 645–654 (2007)

    Article  Google Scholar 

  8. Lee, S., Eisemann, E., Seidel, H.P.: Depth-of-field rendering with multiview synthesis. ACM Trans. Graphics 28(5), No. 134 (2009)

    Google Scholar 

  9. Lee, S., Eisemann, E., Seidel, H.P.: Real-time lens blur effects and focus control. ACM Trans. Graphics 29(4), No. 65 (2010)

    Google Scholar 

  10. Lee, S., Kim, G.J., Choi, S.: Real-time depth-of-field rendering using anisotropically filtered mipmap interpolation. IEEE Trans. Visualization Computer Graphics 15(3), 453–464 (2009)

    Article  Google Scholar 

  11. Lee, S., Kim, G.J., Choi, S.: Real-time depth-of-field rendering using point splatting on per-pixel layers. Computer Graphics Forum 27(7), 1955–1962 (2008)

    Article  Google Scholar 

  12. Levin, A., Lischinski, D., Weiss, Y.: A closed-form solution to natural image matting. IEEE Trans. PAMI 30(2), 228–242 (2008)

    Article  Google Scholar 

  13. Liu, J., Gong, X., Liu, J.: Guided inpainting and filtering for kinect depth maps. In: Proc. ICPR, pp. 2055–2058 (2012)

    Google Scholar 

  14. Matsuo, T., Fukushima, N., Ishibashi, Y.: Weighted joint bilateral filter with slope depth compensation filter for depth map refinement. In: Proc. VISAPP, pp. 300–309 (2013)

    Google Scholar 

  15. Wang, Q., Yu, Z., Rasmussen, C., Yu, J.: Stereo vision based depth of field rendering on a mobile device. J. Electronic Imaging 23(2), No. 023009 (2014)

    Google Scholar 

  16. Wu, J., Zheng, C., Hu, X., Wang, Y., Zhang, L.: Realistic rendering of bokeh effect based on optical aberrations. The Visual Computer 26, 555–563 (2010)

    Article  Google Scholar 

  17. Xue, W., Zhang, X., Sheng, B., Ma, L.: Image-based depth-of-field rendering with non-local means filtering. In: Proc. ICMEW, pp. 1–6 (2013)

    Google Scholar 

  18. Yu, X., Wang, R., Yu, J.: Real-time depth of field rendering via dynamic light field generation and filtering. Computer Graphics Forum 29(7), 2099–2107 (2010)

    Article  Google Scholar 

  19. Yu, Z., Yu, X., Thorpe, C., Grauer-Gray, S., Li, F., Yu, J.: Racking focus and tracking focus on live video streams: a stereo solution. The Visual Computer 30(1), 45–58 (2014)

    Article  Google Scholar 

  20. Zhang, W., Cham, W.K.: Single image focus editing. In: Proc. ICCV Workshops, pp. 1947–1954 (2009)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science, The University of Auckland, Auckland, New Zealand

    Dongwei Liu & Radu Nicolescu

  2. School of Engineering, Auckland University of Technology, Auckland, New Zealand

    Reinhard Klette

Authors
  1. Dongwei Liu
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  2. Radu Nicolescu
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  3. Reinhard Klette
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Corresponding author

Correspondence to Dongwei Liu .

Editor information

Editors and Affiliations

  1. University of Malta, Msida, Malta

    George Azzopardi

  2. University of Groningen, Groningen, The Netherlands

    Nicolai Petkov

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© 2015 Springer International Publishing Switzerland

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Liu, D., Nicolescu, R., Klette, R. (2015). Bokeh Effects Based on Stereo Vision. In: Azzopardi, G., Petkov, N. (eds) Computer Analysis of Images and Patterns. CAIP 2015. Lecture Notes in Computer Science(), vol 9256. Springer, Cham. https://doi.org/10.1007/978-3-319-23192-1_17

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  • DOI: https://doi.org/10.1007/978-3-319-23192-1_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23191-4

  • Online ISBN: 978-3-319-23192-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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