Abstract
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.
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Yang, JX., Wang, Y. 3D Integral Imaging Display Processing Using the Similarity of Corresponding Points in Axially Recorded Images. J Russ Laser Res 41, 390–398 (2020). https://doi.org/10.1007/s10946-020-09891-9
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DOI: https://doi.org/10.1007/s10946-020-09891-9