A novel algorithm was developed to estimate scene depth by uniquely exploiting plenoptic image data. Plenoptic images allow multiple perspectives to be extracted from a single exposure from a single lens. Depth from disparity was calculated for every available perspective view using normalized cross correlation. This resulted in a large number of unique disparity maps, which were then combined in a least-squares sense, weighted by confidence coefficients to account for measurement uncertainty. The averaged disparity map was then transformed into a depth map using geometric optics. The accuracy of the algorithm was tested with a plenoptic camera on a small static target imaged throughout the depth of field. Depth was recovered with a standard deviation less than 5 mm, validating the algorithm.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Correlation-Based Depth Estimation with a Plenoptic Camera


    Beteiligte:

    Erschienen in:

    AIAA Journal ; 55 , 2 ; 435-445


    Erscheinungsdatum :

    2016-12-12


    Format / Umfang :

    11 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Correlation-Based Depth Estimation with a Plenoptic Camera

    Roberts, William A | Online Contents | 2016


    Correlation-based Depth Estimation with a Plenoptic Camera

    Roberts, William / Thurow, Brian S. | AIAA | 2016


    Correlation-Based Depth Estimation with a Plenoptic Camera

    Roberts, William A | Online Contents | 2017


    Correlation-based Depth Estimation with a Plenoptic Camera (AIAA 2016-0136)

    Roberts, William / Thurow, Brian S. | British Library Conference Proceedings | 2016


    Two camera plenoptic-PIV

    Fahringer, Timothy W. / Thurow, Brian S. | AIAA | 2017