Three-dimensional synthetic aperture integral imaging

Jang, Ju-Seog; Javidi, Bahram

doi:10.1364/ol.27.001144

Cited by 242 publications

(121 citation statements)

References 7 publications

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“…For instance, an array of image sensors distributed in an homogeneous or (alternatively) random grid such as Synthetic Aperture Integral Imaging (SAII) [23]. The acquisition strategy used in this work ( Figure 2(left)) is SAII in a homogeneous distributed case.…”

Section: Capture and Display Stages Of Integral Imagingmentioning

confidence: 99%

Depth estimation in Integral Imaging based on a maximum voting strategy

Martínez-Usó

Carmona

Sotoca

et al. 2016

J. Display Technol.

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An approach that uses the scene information acquired by means of a 3D Synthetic Aperture Integral Imaging system is presented. This method generates a depth map of the scene through a voting strategy. In particular, we consider the information given by each camera of the array for each pixel, and also the local information in a neighbourhood of that pixel. The proposed method obtains consistent results for any type of object surfaces as well as very sharp boundaries.In addition, we also contribute in this paper with a repository of a set of synthetic integral images generated by 3DS Max where the so called ground truth (real-true depth map) is available. This resource can be used as a benchmark to test any Integral Imaging based range estimation method.

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Section: Capture and Display Stages Of Integral Imagingmentioning

confidence: 99%

Depth estimation in Integral Imaging based on a maximum voting strategy

Martínez-Usó

Carmona

Sotoca

et al. 2016

J. Display Technol.

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“…1. The information coming from the 3D scene is recorded using the synthetic aperture integral imaging approach [18]. A camera is assembled on a two-axis translation stage and the elemental images are recorded after shifting the camera at periodic positions.…”

Section: Polarimetric 3d Inimentioning

confidence: 99%

“…In particular, some authors focused on developing solutions for different practical problems related to integral imaging implementation [15][16][17][18][19][20][21][22]. Integral imaging under extremely low light level scenes using photon-counting elemental images has been shown as a particularly interesting topic.…”

Section: Introductionmentioning

confidence: 99%

Polarimetric 3D integral imaging in photon-starved conditions

Carnicer

Javidi

2015

Opt. Express

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Abstract:We develop a method for obtaining 3D polarimetric integral images from elemental images recorded in low light illumination conditions. Since photon-counting images are very sparse, calculation of the Stokes parameters and the degree of polarization should be handled carefully. In our approach, polarimetric 3D integral images are generated using the Maximum Likelihood Estimation and subsequently reconstructed by means of a Total Variation Denoising filter. In this way, polarimetric results are comparable to those obtained in conventional illumination conditions. We also show that polarimetric information retrieved from photon starved images can be used in 3D object recognition problems. To the best of our knowledge, this is the first report on 3D polarimetric photon counting integral imaging.

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“…In Synthetic Aperture Integral Imaging (SAII) [11] (Fig. 1(a)), a single camera is used to acquire the elemental images from slightly different perspectives.…”

Section: Reconstructionmentioning

confidence: 99%

Three-Dimensional Visualization of Long Range Scenes by Photon Counting Mid-Wave Infrared Integral Imaging

Carmona

Javidi

LeMaster

2015

J. Display Technol.

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Abstract-Integral Imaging under photon counting conditions has found different three-dimensional (3D) imaging applications, including 3D image reconstruction and recognition. In this letter, we present the application of the maximum likelihood (ML) estimation method for visualization of 3D scenes in photon starved environments using Mid-Wave Infrared 3D data of real scenes acquired at distances ranging from 50m to more than 2km. To the best of our knowledge, this is the first report on Mid-Wave Infrared 3D photon counting integral imaging of distant scenes.

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Three-dimensional synthetic aperture integral imaging

Cited by 242 publications

References 7 publications

Depth estimation in Integral Imaging based on a maximum voting strategy

Depth estimation in Integral Imaging based on a maximum voting strategy

Polarimetric 3D integral imaging in photon-starved conditions

Three-Dimensional Visualization of Long Range Scenes by Photon Counting Mid-Wave Infrared Integral Imaging

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