Focus stacking by multi-viewpoint focus bracketing

Yucheng Qiu, Daisuke Inagaki, K. Kohiyama, Hiroya Tanaka, Takashi Ijiri
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引用次数: 1

Abstract

We present an approach to obtain high-quality focus-stacking images. The key idea is to integrate the multi-view structure-from-motion (SfM) algorithm with the focus-stacking process; we carry out focus-bracketing shooting at multiple viewpoints, generate depth maps for all viewpoints by using the SfM algorithm, and compute focus stacking using the depth maps and local sharpness. By using the depth-maps, we successfully achieve focus-stacking results with less artifacts around object boundaries and without halo-artifacts, which was difficult to avoid by using the previous sharpest pixel and pyramid approaches. To illustrate the feasibility of our approach, we performed focus stacking of small objects such as insects and flowers.
多视点对焦包围法对焦叠加
我们提出了一种获得高质量焦点叠加图像的方法。其关键思想是将多视图运动结构(SfM)算法与焦点叠加过程相结合;我们在多个视点进行对焦覆盖拍摄,利用SfM算法生成所有视点的深度图,并利用深度图和局部清晰度计算焦点叠加。通过使用深度图,我们成功地实现了焦点叠加结果,减少了物体边界周围的伪影,并且没有使用之前最锐利的像素和金字塔方法难以避免的晕影。为了说明我们方法的可行性,我们对昆虫和花朵等小物体进行了焦点叠加。
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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