Distance Estimation with a Two or Three Aperture SLR Digital Camera

  • Seungwon Lee
  • Joonki Paik
  • Monson H. Hayes
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8192)


When a camera is modified by placing two or more displaced apertures with color filters within the imaging system, it is possible to estimate the distances of objects from the camera and to create 3-d images. In this paper, we develop the key equations necessary to estimate the distance of an object and discuss the feasibility of such a system for distance estimation in applications such as robot vision, human computer interfaces, intelligent visual surveillance, 3-d image acquisition, and intelligent driver assistance systems. In particular, we discuss how accurately these distances may be estimated and describe how distance estimation may be performed in real-time using an appropriately modified video camera.


Image Plane Distance Estimation Color Channel Stereo Image Blue Channel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Koh, K., Kuk, J.G., Jin, B., Choi, W., Cho, N.: Autofocus Method Using Dual Aperture and Color Filters. Journal of Electronic Imaging 20(3) (July 2011)Google Scholar
  2. 2.
    Kim, S., Lee, E., Hayes, M., Paik, J.: Multifocusing and Depth Estimation Using a Color Shift Model-Based Computational Camera. IEEE Trans. on Image Processing 21(9), 4152–4166 (2012)MathSciNetCrossRefGoogle Scholar
  3. 3.
    Amari, Y., Adelson, E.H.: Single-Eye range Estimation by Using Displaced Apertures with Color Filters. In: Proc. 1992 Int. Conf. on Industrial Electronics, Control, Instrumentation, and Automation, vol. 3, pp. 1588–1592 (November 1992)Google Scholar
  4. 4.
    Lee, S., Kim, N., Jung, K., Hayes, M., Paik, J.: Single Image-Based Depth Estimation Using Dual Off-Axis Color Filtered Aperture Camera. In: Proc. 2013 Int. Conf. on Acoustics, Speech, and Sig. Processing, Vancouver, Canada (May 2013)Google Scholar
  5. 5.
    Hecht, E.: Optics. Addison-Wesley (2001)Google Scholar
  6. 6.
    Dou, Q., Favaro, P.: Off-axis aperture camera: 3D shape reconstruction and image restoration. In: IEEE Conf. on Computer Vision and Pattern Recognition, pp. 1–7 (2008)Google Scholar
  7. 7.
    Lee, S., Paik, J., Hayes, M.: Stereo Image Capture and Distance Estimation with an SLR Digital Camera. In: Proc. 15th IASTED International Conference on Signal and Image Processing, Banff, Canada (July 2013)Google Scholar
  8. 8.
    Bae, S., Durand, F.: Defocus Magnification. Eurographics 2007 26(3) (2007)Google Scholar
  9. 9.
    Maik, V., Cho, D., Shin, J., Har, D., Paik, J.: Color shift Model-Based Segmentation and Fusion for Digital Auto-focusing. J. Imaging Science Tech. 51, 368–379 (2007)CrossRefGoogle Scholar
  10. 10.
    Periaswamy, S., Farid, H.: Elastic Registration in the Presence of Intensity Variations. IEEE Trans. on Medical Imaging 32(7), 865–874 (2003)CrossRefzbMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Seungwon Lee
    • 1
  • Joonki Paik
    • 1
  • Monson H. Hayes
    • 1
  1. 1.Graduate School of Advanced Imaging Science, Multimedia, and FilmChung-Ang UniversitySeoulKorea

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