Computational Depth Conversion of Reconstructed Three-Dimensional Object Images in Curving-Effective Integral Imaging System

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概要

• 論文の詳細を見る

• In this paper, we propose a novel method for the computational depth conversion of reconstructed three-dimensional (3D) object images by a direct pixel mapping (DPM) method in curving-effective integral imaging (CEII) system. In this proposed method, the elemental image array (EIA) of the 3D object is picked up in the CEII system, and then, this EIA is computationally transformed into a depth-converted EIA by the DPM method. Thus, in contrast to a conventional method, with this proposed method, a real and orthoscopic 3D object image with a wide viewing angle can be provided to observers without any data loss in the depth conversion process. Good experimental results finally confirmed the feasibility of the proposed method.

• Published by the Japan Society of Applied Physics through the Institute of Pure and Applied Physicsの論文
• 2010-02-25

著者

• Kim Eun-Soo

  3D Display Research Center, Department of Electronic Engineering, Kwangwoon University, 447-1 Wolge-dong, Nowon-gu, Seoul 139-701, Korea

• Eun-Soo Kim

  3D Display Research Center, Department of Electronics Engineering, Kwangwoon University, 447-1 Wolgye-dong, Nowon-gu, Seoul 139-701, Korea

• Shin Dong-Hak

  Department of Visual Contents, Dongseo University, San 69-1, Churye-2-dong, Sasang-gu, Busan 617-716, Korea

• Piao Yongri

  3D Display Research Center, Department of Electronics Engineering, Kwangwoon University, 447-1 Wolgye-dong, Nowon-gu, Seoul 139-701, Korea

• Yongri Piao

  3D Display Research Center, Department of Electronics Engineering, Kwangwoon University, 447-1 Wolgye-dong, Nowon-gu, Seoul 139-701, Korea

関連論文

• Regularized Stereo Matching Scheme using Adaptive Disparity Estimation
• Computational Reconstruction of Three-Dimensional Objects in Integral Imaging using Lenslet Array
• Effective Depth Detection of Three-Dimensional Objects in Space with Picked-up and Computationally Reconstructed Integral Images
• Performance-Enhanced Three-Dimensional Object Recognition by Computational Integral Imaging with Depth Data of Picked-Up Elemental Images
• Fast Computational Integral Imaging Reconstruction Method Using a Fractional Delay Filter
• Unidirectional Computational Integral Imaging Technique for Perspective Plane-Image Reconstruction of Three-Dimensional Objects
• Parallax-Controllable Large-Depth Integral Imaging Scheme Using Lenslet Array
• Computational Depth Conversion of Reconstructed Three-Dimensional Object Images in Curving-Effective Integral Imaging System

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