In this paper, we propose a three-dimensional (3D) integral image display method that uses the similarity of corresponding points in a series of axially recorded images. First, we calculate the corresponding points of a 3D object, in view of the proportional relationship of the distances of points in the elemental images collected, using axially distributed sensing (ADS). Next, we extract the depth map using the minimum error of the color values of the corresponding points. Finally, we use the color image and depth map to generate an elemental image array without the need for a lens array. This approach can display a 3D image in integral imaging. To show the usefulness of the method, we obtain the elemental images using ADS through the 3ds Max, and the experimental results demonstrate that the method proposed can extract a depth map for the 3D integral image display.

中文翻译：

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使用轴向记录图像中相应点的相似性的3D整体成像显示处理

在本文中，我们提出了一种三维（3D）积分图像显示方法，该方法利用一系列轴向记录的图像中对应点的相似性。首先，我们使用轴向分布传感（ADS），根据收集的基本图像中点的距离成比例关系，计算3D对象的相应点。接下来，我们使用相应点的颜色值的最小误差提取深度图。最后，我们使用彩色图像和深度图来生成基本图像阵列，而无需透镜阵列。这种方法可以在整体成像中显示3D图像。为了展示该方法的有效性，我们通过3ds Max使用ADS获得了基本图像，