This paper presents a digital three-dimensional reconstruction method based on a set of small-baseline elemental images captured with a micro-lens array and a CCD sensor. In this paper, we adopt the ASIFT (Affine Scale-invariant feature transform) operator as the image registration method. Among the set of captured elemental images, the elemental image located in the middle of the overall image field is used as the reference and corresponding matching points in each elemental image around the reference elemental are calculated, which enables to accurately compute the depth value of object points relatively to the reference image frame. Using optimization algorithm with redundant matching points can achieve 3D reconstruction finally. Our experimental results are presented to demonstrate excellent performance in accuracy and speed of the proposed algorithm.

中文翻译：

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基于积分成像的数字三维重构。

本文提出了一种数字三维重建方法，该方法基于一组用微透镜阵列和CCD传感器捕获的小基线基本图像。在本文中，我们采用ASIFT（仿射尺度不变特征变换）算子作为图像配准方法。在所捕获的基本图像集合中，将位于整个图像场中间的基本图像用作参考，并计算参考基本元素周围的每个基本图像中的对应匹配点，这使得可以准确地计算对象的深度值相对于参考图像帧指向。使用具有冗余匹配点的优化算法最终可以实现3D重建。