Analysis of resolution limitation of integral photography

Hoshino, Hiroo; Okano, Fumio; Isono, Haruo; Yuyama, Ichiro

doi:10.1364/josaa.15.002059

Cited by 331 publications

(149 citation statements)

References 3 publications

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“…The resolution of the S3D target was constant at all depth positions; however, the resolution of the I3D target varied with the depth position 12 as shown in Fig. 2(d).…”

Section: Accommodation and Convergence Responsesmentioning

confidence: 94%

“…In integral photography, the resolution of the 3D images varies with the depth positions of the targets from the display. 12 To compare the accommodation responses to the I3D and S3D targets, the resolution and depth positions of the targets were determined. The resolution of the S3D targets was set to almost the same resolution as the I3D targets.…”

Section: Accommodation and Convergence Responsesmentioning

confidence: 99%

“…The graph shows the I3D resolution characteristics of the three display resolutions as calculated by the equations described in Ref. 12. The horizontal axis of the graph indicates the viewing distance from the observer, and the vertical axis represents the resolution.…”

Section: Depth Perceptionmentioning

confidence: 99%

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Experimental verification of accommodation-convergence conflict in viewing integral photography

et al. 2018

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Abstract. We experimentally verified the depth perception and accommodation-convergence conflict in viewing integral photography. For comparison, the same measurements were performed with binocular stereoscopic images and real objects. First, the depth perception in viewing an integral three-dimensional (3D) target was measured at three display resolutions: 153, 229, and 458 ppi. The results showed that the depth perception was dependent on the display resolution. The results were also evaluated in a statistical test at a significance level of 5%. The results showed that the recognized depth perception ranges were 180, 240, and 330 mm when the display resolutions were 153, 229, and 458 ppi, respectively. The results were also analyzed in terms of image resolution. This suggested that depth perception occurred at over 1.0 cpd. The accommodation and convergence responses in viewing an integral 3D target displayed on a 3D display with 458 ppi were measured using PowerRef 3. The experimental results were evaluated with a multiple comparison test. It was found that 6 of the 10 observers did not have an accommodation-convergence conflict when viewing the integral 3D target inside and outside the depth of field. In conclusion, integral photography can provide a natural 3D image that looks like a real object. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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“…The resolution of the S3D target was constant at all depth positions; however, the resolution of the I3D target varied with the depth position 12 as shown in Fig. 2(d).…”

Section: Accommodation and Convergence Responsesmentioning

confidence: 94%

Section: Accommodation and Convergence Responsesmentioning

confidence: 99%

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Experimental verification of accommodation-convergence conflict in viewing integral photography

et al. 2018

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“…An advantage of 3D in relation to traditional 2D imaging techniques is their capability to capture the spatial (structural) information of different objects that are in a scene. One promising 3D approach is based on Integral Imaging or Integral Photography, which is an autostereoscopic imaging method used to capture 3D information and to visualize it in 3D space, either optically or computationally [2,5,20,28,32,48].…”

Section: Introductionmentioning

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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“…It has been regarded as the most promising technique because of its full parallax, continuous viewing, and full-color images [1][2][3][4]. However, this technique suffers from some problems such as limited image resolution [5][6][7], narrow viewing angle, and small image depth.…”

Section: Introductionmentioning

confidence: 99%

Resolution Enhanced Computational Integral Imaging Reconstruction by Using Boundary Folding Mirrors

Piao¹,

Xing²,

Zhang³

et al. 2016

Journal of the Optical Society of Korea

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In this paper, we present a resolution-enhanced computational integral imaging reconstruction method by using boundary folding mirrors. In the proposed method, to improve the resolution of the computationally reconstructed 3D images, the direct and reflected light information of the 3D objects through a lenslet array with boundary folding mirrors is recorded as a combined elemental image array. Then, the ray tracing method is employed to synthesize the regular elemental image array by using a combined elemental image array. From the experimental results, we can verify that the proposed method can improve the visual quality of the computationally reconstructed 3D images.

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Analysis of resolution limitation of integral photography

Cited by 331 publications

References 3 publications

Experimental verification of accommodation-convergence conflict in viewing integral photography

Experimental verification of accommodation-convergence conflict in viewing integral photography

Depth estimation in Integral Imaging based on a maximum voting strategy

Resolution Enhanced Computational Integral Imaging Reconstruction by Using Boundary Folding Mirrors

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