The problem of obtaining depth information from focusing and defocusing is studied. In depth from focusing, instead of the Fibonacci search, which is often trapped in local maxima, the combination of Fibonacci search and curve fitting is proposed. This combination leads to an unprecedentedly accurate result. A model of the blurring effect that takes geometric blurring as well as imaging blurring into consideration in the calibration of the blurring model is proposed. In spectrogram-based depth from defocusing, a maximal resemblance estimation method is proposed to decrease or eliminate the window effect.<>


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    Title :

    Depth from focusing and defocusing


    Contributors:
    Xiong, Y. (author) / Shafer, S.A. (author)


    Publication date :

    1993-01-01


    Size :

    388894 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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