• DocumentCode
    2678284
  • Title

    Depth retrieval based on optical defocus of imaging system

  • Author

    Hong, Liu

  • Author_Institution
    Educ. Minist. Key Lab. of Intell. Comput. & Signal Process., Anhui Univ., Hefei, China
  • Volume
    5
  • fYear
    2010
  • fDate
    27-29 March 2010
  • Firstpage
    319
  • Lastpage
    322
  • Abstract
    A novel method based on optical defocus of imaging system is presented for the estimation of the depth of the 3D scene. Firstly, optical defocus is described using the oriented heat-flows equation based on curvature driven. Secondly, the depth retrieval problem is translated into the minimum problem of energy functional with total variation regularization. Finally, the gradient flow is used to seek the optimal solution. The retrieval of focus image and the excess restrictions are avoided. Experimental result shows that better depth result can be obtained.
  • Keywords
    content-based retrieval; gradient methods; image restoration; image retrieval; minimisation; depth retrieval; energy functional problem; focus image retrieval; gradient flow; imaging system; optical defocus; oriented heat-flows equation; total variation regularization; Apertures; Cameras; Computer vision; Detectors; Focusing; Image retrieval; Layout; Lenses; Optical imaging; Optical signal processing; Curvature Driven; Depth retrieval; Optical defocus; Total variation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Control (ICACC), 2010 2nd International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-5845-5
  • Type

    conf

  • DOI
    10.1109/ICACC.2010.5487068
  • Filename
    5487068