• DocumentCode
    1661465
  • Title

    Single image-based depth estimation using dual off-axis color filtered aperture camera

  • Author

    Seungwon Lee ; Nahyun Kim ; Kyungwon Jung ; Hayes, M.H. ; Joonki Paik

  • Author_Institution
    Image Process. & Intell. Syst. Lab., Film Chung-Ang Univ., Seoul, South Korea
  • fYear
    2013
  • Firstpage
    2247
  • Lastpage
    2251
  • Abstract
    In this paper, we present a dual off-axis color filtered aperture (DCA)-based computational imaging system for depth estimation in a single-camera framework. The DCA has one primary (red) color and its complementary (cyan) color filtered apertures located off the optical axis to generate misalignment between color channels depending on the distance of a region-of-interest from the camera. Disparity of color shifting values (CSVs) between color channels in the image acquired by the DCA-based imaging system is estimated using L1-norm minimization of energy functional considering both brightness and gradient constancies and only translation of x-axis. The two data terms both red to green (R-G) and red to blue (R-B) are combined in a single data term. The proposed imaging system can be implemented by simply inserting an appropriately resized DCA into any general optical system. Experimental results show that the proposed DCA can estimate the distance of the scene from the camera in the single-camera framework.
  • Keywords
    cameras; gradient methods; image colour analysis; image reconstruction; minimisation; natural scenes; optical filters; 3D image acquisition; CSV disparity; DCA-based computational imaging system; L1-norm minimization; brightness; camera; color channel; color shifting value; complementary color filtered aperture; dual off-axis color filtered aperture; energy function; gradient constancy; image-based depth estimation; optical axis; optical system; region of interest; scene distance estimation; Apertures; Cameras; Channel estimation; Estimation; Image color analysis; Optical imaging; 3D image acquisition; 3D reconstruction; Depth estimation; computational camera; optical flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6638054
  • Filename
    6638054