• ETRI Journal
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• v.27 no.3
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• pp.289-293
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• 2005

We propose an asymmetric integral imaging method to adjust the resolution and depth of a three-dimensional image. Our method is obtained by use of two lenticular sheets with different pitches fabricated under the same F/#. The asymmetric integral imaging is the generalized version of integral imaging, including both conventional integral imaging and one-dimensional integral imaging. We present experimental results to test and verify the performance of our method computationally.

• 한국정보디스플레이학회:학술대회논문집
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• 2008.10a
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• pp.1131-1134
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• 2008

In this invited paper, numerical reconstruction and pattern recognition using integral imaging are overviewed. The computational integral imaging method reconstructs three-dimensional information at arbitrary depth-levels. Photon-counting nonlinear matched filtering combined with the computational reconstruction provides promising results for the application of low-light level recognition.

• 한국정보디스플레이학회:학술대회논문집
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• 2009.10a
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• pp.1250-1253
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• 2009

Integral imaging provides an efficient way to display three-dimensional images with high degree of viewing freedom. Pickup process of integral imaging can also be utilized to acquire three-dimensional contents for displays. This paper introduces basic principle and recent progress of integral imaging technique.

• Journal of the Optical Society of Korea
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• v.14 no.4
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• pp.388-394
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• 2010

In this paper the object recognition performance of a photon counting integral imaging system is quantitatively compared with that of a conventional gray scale imaging system. For 3D imaging of objects with a small number of photons, the elemental image set of a 3D scene is obtained using the integral imaging set up. We assume that the elemental image detection follows a Poisson distribution. Computational geometrical ray back propagation algorithm and parametric maximum likelihood estimator are applied to the photon counting elemental image set in order to reconstruct the original 3D scene. To evaluate the photon counting object recognition performance, the normalized correlation peaks between the reconstructed 3D scenes are calculated for the varied and fixed total number of photons in the reconstructed sectional image changing the total number of image channels in the integral imaging system. It is quantitatively illustrated that the recognition performance of the photon counting integral imaging system can be similar to that of a conventional gray scale imaging system as the number of image viewing channels in the photon counting integral imaging (PCII) system is increased up to the threshold point. Also, we present experiments to find the threshold point on the total number of image channels in the PCII system which can guarantee a comparable recognition performance with a gray scale imaging system. To the best of our knowledge, this is the first report on comparisons of object recognition performance with 3D photon counting & gray scale images.

• Journal of the Optical Society of Korea
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• v.17 no.2
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• pp.148-161
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• 2013

We propose one- and two-dimensional reference functions for processing of integral/multiview imaging. The functions provide the synthesis/analysis of the integral image by distance, as an alternative to the composition/decomposition by view images (directions). The synthesized image was observed experimentally. In analysis confirmed by simulation in a qualitative sense, the distance was obtained by convolution of the integral image with the reference functions.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.1012-1014
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• 2012

Integral imaging is considered as a next-generation 3D display which can display 3d imaging in space using lens array. The performance of integral imaging systems depends on several factors including display panel, lens array, imaging devices and so on. In this paper, we develop a unifying framework to evaluate the resolution of integral imaging systems under fixed resource constraints. The proposed framework enables one to optimize the system performance. To show the feasibility of the proposed method, we carry out Monte Carlo simulations based on this framework and present the results.

• 한국정보디스플레이학회:학술대회논문집
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• 2006.08a
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• pp.1322-1325
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• 2006

Integral imaging is a three-dimensional display method which has full parallax and continuous viewpoints. However, we found an error between the depth expressed by integral imaging and the depth perceived by the observer through binocular disparity. We analyze the depth perception errors of the threedimensional image constructed by integral imaging.

• Proceedings of the Optical Society of Korea Conference
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• 2003.02a
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• pp.240-241
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• 2003

여러 3차원 디스플레이 기술 중 integral imaging은 안경 및 기타 보조기구를 착용하지 않은 관측자에게 시야각 내에서 연속적인 시점, 수직수평 패럴랙스, 실시간 full color 동영상의 재생을 지원한다는 장점을 갖고 있어 최근 많은 관심을 받으며 이에 대한 연구가 활발히 진행되고 있다. Integral imaging에 대한 연구는 주로 시야각을 향상시키거나 재생되는 입체 영상의 해상도를 향상시키는 방향으로 이루어지고 있다. (중략)

• 한국정보디스플레이학회:학술대회논문집
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• 2008.10a
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• pp.726-729
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• 2008

In this paper, we present an interference problem among elemental images in computational integral imaging reconstruction. To overcome the interference problem, we propose a method to calculate a minimum magnification factor and the preliminary experiments are performed.

• 한국정보디스플레이학회:학술대회논문집
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• 2008.10a
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• pp.1127-1130
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• 2008

Integral imaging is a three-dimensional display technique which has 100 years of history. The method is characterized by offering full parallax, almost-continuous viewpoints and easiness of moving picture display. In this paper, the history of the method is briefly explained and overview of its current status is provided.