基于降维的多焦点图像序列的高效自由视点图像重建

2007 International Symposium on Intelligent Signal Processing and Communication Systems Pub Date : 2007-11-01 DOI:10.1109/ISPACS.2007.4445846

X. Ou, T. Hamamoto, K. Kodama

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引用次数: 5

摘要

本文研究了利用多聚焦成像序列生成自由视点图像的技术。该方法可以实现三维多焦点成像序列的高密度四维射线空间重建。在此之前，我们提出了一种直接从多焦点成像序列中生成自由视点、虹膜和焦点图像的方法，该方法使用三维卷积滤波器来表达场景在序列中的散焦情况。然而，基于三维FFT的空间频率分析的成本并不便宜。本文讨论了利用降维和二维FFT对自由视点图像进行有效重建的方法。我们用合成图像展示了一些实验结果。为了估计生成的自由视点图像之间的差异，还对极平面图像进行了重建。

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Efficient free viewpoint image reconstruction from multi-focus imaging sequences based on dimension reduction

This paper deals with the technique for generating free viewpoint images by using multi-focus imaging sequences. The method may enable us to realize dense 4-D ray-space reconstruction from 3-D multi-focus imaging sequences. Previously, we proposed a method of generating free viewpoint, iris and focus images directly from multi-focus imaging sequences with a 3-D convolution filter that expresses how the scene is defocused in the sequence. However, the cost of the spatial frequency analysis based on 3-D FFT is not inexpensive. In this paper, efficient reconstruction of free viewpoint images by dimension reduction and 2-D FFT is discussed. We show some experimental results by using synthetic images. Epipolar plane images are also reconstructed in order to estimate the disparity between generated free viewpoint images.

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2007 International Symposium on Intelligent Signal Processing and Communication Systems

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