Depth from focus for 3D reconstruction by iteratively building uniformly focused image set

Sherzod Salokhiddinov, Seungkyu Lee
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引用次数: 2

Abstract

Depth estimation from differently focused set of images has been a practical approach for 3D reconstruction with existing color cameras. In this paper, we propose a depth from focus (DFF) method for accurate depth estimation using single commodity color camera. We investigate the appearance changes in spatial and frequency domain along the focused image frames in iterative manner. In order to achieve sub-frame level accuracy in depth estimation, optimal location of in-focus frame is estimated by fitting a parameterized polynomial curve on the dissimilarity measurements of each pixel. Quantitative and qualitative evaluations on various test image sets show promising performance of the proposed method in depth estimation.
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通过迭代建立均匀聚焦的图像集来实现三维重建
利用现有彩色相机对不同聚焦图像进行深度估计是一种实用的三维重建方法。在本文中,我们提出了一种基于单一商品彩色相机的精确深度估计方法。我们以迭代的方式研究了聚焦图像帧在空间和频域的外观变化。为了在深度估计中达到子帧级精度,通过对每个像素的不相似性测量值拟合参数化多项式曲线来估计对焦帧的最优位置。对各种测试图像集的定量和定性评价表明了该方法在深度估计方面的良好性能。
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