In this article, a method is proposed to accurately overlap multiple high-quality images with different shooting positions and intervals by combining corresponding point information between images and 3D shape information. In the proposed method, the correct feature matching of images obtained by rendering the 3D model of the subject is used. In this research, the subjects were the pillars of the Angkor Thom Bayon Temple and the epilithic microorganisms adhering to and eroding their surfaces. Synthetic transformation of a homography utilizing the correct matches is employed to overlap the target images. When overlapping different background images using the conventional method, estimation of the homography matrix becomes difficult owing to incorrect matches; thus, high-quality overlapping images cannot be obtained. The objective of this research was to realize the overlapping image process even under conditions that cause incorrect feature matches, such as differences in background and illumination. In this study, the damaged parts of the pillar surfaces were visualized using the proposed method. Based on the results of an experiment comparing the proposed method with an existing state-of-the-art method, the effectiveness and higher accuracy of the proposed method were verified. The findings of this research contribute to Angkor Thom Bayon Temple preservation, including a preservation project that the present authors are organizing for this culturally and historically valuable United Nations Educational, Scientific and Cultural Organization World Heritage site.

中文翻译：

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用于世界遗产地调查的超长间隔延时图像的精确重叠方法

在本文中，提出了一种通过结合图像之间的对应点信息和3D形状信息来精确重叠具有不同拍摄位置和间隔的多张高质量图像的方法。在所提出的方法中，使用通过渲染对象的 3D 模型获得的图像的正确特征匹配。在这项研究中，研究对象是吴哥城巴戎寺的柱子和附着并侵蚀其表面的石质微生物。利用正确匹配的单应性合成变换被用于重叠目标图像。当使用传统方法重叠不同背景图像时，由于匹配不正确，单应矩阵的估计变得困难；因此，无法获得高质量的重叠图像。这项研究的目的是即使在导致不正确特征匹配的条件下（例如背景和照明的差异）也能实现重叠图像处理。在这项研究中，使用所提出的方法可视化了支柱表面的损坏部分。通过将所提方法与现有最先进方法进行比较的实验结果，验证了所提方法的有效性和较高的准确性。这项研究的结果有助于吴哥城巴戎寺的保护，包括目前的作者正在为这个具有文化和历史价值的联合国教育、科学及文化组织世界遗产地组织的保护项目。