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Depth extraction from 3D-integral images approached as an inverse problem

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3 Author(s)
Cirstea, S. ; Anglia Ruskin Univ, Cambridge ; Aggoun, A. ; McCormick, M.

The paper presents two methods for the extraction of depth information from planar recorded data of 3D (three - dimensional) integral images. A description of the integral imaging system and the associated point spread function are presented. Depth estimation from 3D-integral pictures is formulated as an inverse problem of integral image formation. To cure the ill-posedness of the problem, approximate solutions are searched using so called dasiaregularization methodspsila. Two regularization schemes for obtaining constrained least-squares solutions are presented. The first algorithm is based on the projected Landweber method. The second method is a constrained version of Tikhonovpsilas regularization method for ill-posed problems. Finally, illustrative simulation results are given.

Published in:

Industrial Electronics, 2008. ISIE 2008. IEEE International Symposium on

Date of Conference:

June 30 2008-July 2 2008