Free viewpoint image reconstruction from multiple differently focused images and its implementation by CELL-based computing

Hiroki Yonezawa, T. Hamamoto, K. Kodama
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Abstract

This paper deals with the CELL-based distributed processing for generating free viewpoint images by merging multiple differently focused images. We previously proposed the method of generating free viewpoint images without any depth estimation. However, it is not so easy to realize real-time image reconstruction based on our previous method. In this paper, we discuss the method to reduce the processing time by dimension reduction for image filtering and CELL-based distributed processing. Especially, the method of high-speed image reconstruction by the CELL processor on SONY PLAYSTATION3 is described in detail. We show some experimental results by using real images.
多幅不同聚焦图像的自由视点图像重建及其基于cell计算的实现
本文研究了基于cell的分布式处理方法,通过多幅不同聚焦的图像合并生成自由视点图像。我们之前提出了不进行深度估计的自由视点图像生成方法。然而,基于我们之前的方法,实现实时图像重建并不容易。本文讨论了在图像滤波和基于cell的分布式处理中通过降维来减少处理时间的方法。详细介绍了利用CELL处理器在索尼PLAYSTATION3上实现高速图像重建的方法。利用真实图像给出了一些实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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