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Improved depth extraction method of 3D objects using computational integral imaging reconstruction based on multiple windowing techniques

机译:基于多种开窗技术的计算积分成像重建的3D目标深度提取方法的改进

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摘要

This paper presents an improved depth extraction method of 3D objects using computational integral imaging reconstruction (CIIR) based on the multiple windowing models. The proposed method records 3D objects using the lenslet array; and it reconstructs multiple sets of slice images from multiple CIIR methods based on the different windowing models. A depth map is then extracted by a block matching algorithm among multiple set of slice images. A preliminary experiment is carried out to show the feasibility of the proposed method. Experimental results indicate the proposed method outperforms the previous method with two windowing models. (C) 2014 Elsevier Ltd. All rights reserved.
机译:本文提出了一种改进的3D对象深度提取方法,该方法使用基于多个窗口模型的计算积分成像重建(CIIR)。提出的方法使用小透镜阵列记录3D对象。然后根据不同的窗口模型,通过多种CIIR方法重建多组切片图像。然后通过块匹配算法在多组切片图像之间提取深度图。初步实验表明了该方法的可行性。实验结果表明,所提出的方法在两个窗口模型方面优于以前的方法。 (C)2014 Elsevier Ltd.保留所有权利。

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