• Korean Journal of Optics and Photonics
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• v.19 no.6
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• pp.389-393
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• 2008

Enhanced reconstruction of heavy occluded objects was represented using estimation of variance in computational integral imaging. The system is analyzed to extract information of enhanced reconstruction from an elemental images set. To obtain elemental images with enhanced resolution, low focus error, and large depth of focus, synthetic aperture integral imaging (SAII) utilizing a digital camera has been adopted. The focused areas of the reconstructed image are varied with the distance of the reconstruction plane. When an occluded object is occluded heavily, an occluded object can not be reconstructed by removing the occluding object. To obtain reconstruction of the occluded object by remedying the effect of heavy occlusion, the statistical technique has been adopted.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.1
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• pp.167-174
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• 2016

In this paper, we propose a generation of 2D elemental images for 3D objects using Kinect in 3D depth-priority integral imaging (DPII) display. First, we analyze a principle to pickup elemental images based on ray optics. Based on our analysis, elemental images are generated with both RGB image and depth image recorded from Kinect. We reconstruct 3D images from the elemental images with the computational integral imaging reconstruction technique and then compare various perspective images. To show the usefulness of the proposed method, we carried out the preliminary experiments. The experimental results reveal that our method can provide correct 3D images with full parallax.

• Proceedings of the Optical Society of Korea Conference
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• 2009.02a
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• pp.251-252
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• 2009

• Korea Multimedia Society
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• v.13 no.4
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• pp.40-46
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• 2009

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.12
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• pp.2271-2276
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• 2008

In this paper, we propose a computational integral imaging reconstruction (CIIR) method based on scale-cariant magnification technique for resolution-enhanced 3D images. First, we introduce an interference problem among elemental images in CIIR. Magnification by a large factor causes inference among elemental images when they are applied to the superposition process. Thus, the resolution of reconstructed images is limited. To overcome the interference problem, we propose a method to calculate a minimum magnification factor while CIIR is still valid. Magnification by a new factor enables the Proposed method to reconstruct resolution-enhanced images. In addition, the computational load of the proposed method is less than that of the previous method. To confirm the feasibility of the proposed method, some experiments are carried out and the results are presented.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.114-115
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• 2012

In this paper, we improve pre-processing method using markers and propose accurate lattice extraction of elemental image array using minimal markers to correct distortion. We propose a method that almost equal performance of existing method and be more simple calculation. For our method, we did computational experiments and compared with reconstructed images.

• Proceedings of the Optical Society of Korea Conference
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• 2008.02a
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• pp.179-180
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• 2008

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.1015-1018
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• 2012

A computational method of integral imaging is proposed based on the lenslet model which allows that the orthoscopic 3D image can be reconstructed at any arbitrary position without any restrictions. The proposed method is not rigidly adhere to the fixed reconstructed distance, but also requires no additional procedure during the depth conversion process. To show the usefulness of the proposed method, we carry out the preliminary experiments and present the experimental results.

• Proceedings of the Optical Society of Korea Conference
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• 2008.02a
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• pp.113-114
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• 2008

• Proceedings of the Optical Society of Korea Conference
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• 2008.02a
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• pp.191-192
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• 2008