6533b7d3fe1ef96bd1260b2c

RESEARCH PRODUCT

Digital slicing of 3D scenes by Fourier filtering of integral images

H. NavarroRaúl Martínez-cuencaMehdi DaneshpanahGenaro SaavedraManuel Martínez-corralBahrain Javidi

subject

Integral imagingOptical sectioningbusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFilter (signal processing)Iterative reconstructionSlicingAtomic and Molecular Physics and OpticsReduction (complexity)symbols.namesakeOpticsFourier transformFeature (computer vision)Computer Science::Computer Vision and Pattern RecognitionsymbolsbusinessProjection (set theory)

description

We present a novel technique to extract depth information from 3D scenes recorded using an Integral Imaging system. The technique exploits the periodic structure of the recorded integral image to implement a Fourier-domain filtering algorithm. A proper projection of the filtered integral image permits reconstruction of different planes that constitute the 3D scene. The main feature of our method is that the Fourier-domain filtering allows the reduction of out-of-focus information, providing the InI system with real optical sectioning capacity.

https://doi.org/10.1364/oe.16.017154