Paper
1 June 2016 Free segmentation in rendered 3D images through synthetic impulse response in integral imaging
M. Martínez-Corral, A. Llavador, E. Sánchez-Ortiga, G. Saavedra, B. Javidi
Author Affiliations +
Abstract
Integral Imaging is a technique that has the capability of providing not only the spatial, but also the angular information of three-dimensional (3D) scenes. Some important applications are the 3D display and digital post-processing as for example, depth-reconstruction from integral images. In this contribution we propose a new reconstruction method that takes into account the integral image and a simplified version of the impulse response function (IRF) of the integral imaging (InI) system to perform a two-dimensional (2D) deconvolution. The IRF of an InI system has a periodic structure that depends directly on the axial position of the object. Considering different periods of the IRFs we recover by deconvolution the depth information of the 3D scene. An advantage of our method is that it is possible to obtain nonconventional reconstructions by considering alternative synthetic impulse responses. Our experiments show the feasibility of the proposed method.
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M. Martínez-Corral, A. Llavador, E. Sánchez-Ortiga, G. Saavedra, and B. Javidi "Free segmentation in rendered 3D images through synthetic impulse response in integral imaging", Proc. SPIE 9867, Three-Dimensional Imaging, Visualization, and Display 2016, 98670A (1 June 2016); https://doi.org/10.1117/12.2223131
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KEYWORDS
3D image processing

Deconvolution

Integral imaging

Image segmentation

Reconstruction algorithms

Microlens

Sensors

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