Approach to Identification of Changes from Local Surface Normal Analysis of RTI Data in Application to Cultural Heritage

Sunita Saha, David Bruce Lewis, R. Sitnik
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Abstract

Identification of changes from cultural heritage (CH) surfaces incor- porates several factors like noise from the surface, error from the acquisition system, and alignment of the two phases of information in a one-time frame. In the post-processing pipeline for change iden- tification, the alignment always generates a bias in calculating the changes. This work proposes a pipeline for processing the surface normal calculated from a simulated Reflectance Transformation Imaging (RTI) acquisition. In this work, we have proposed a normal distribution analysis of the neighboring pixels to give more confi- dence to the change detection method. To claim the ground truth of the segmentation method based on a normal distribution, we have decided to work on the simulated RTI acquisitions. This will help us eliminate the mentioned errors and noises and check their validity. We have considered a visual inspection of the normal distribution of the neighboring pixels and set several parameters to group the several behaviors of the surface changes. From the segmentation, a semi-quantitative change calculation is also possible based on the segmented pixel count in each surface stage. The considered parameters were normalized to make the method independent of the acquisition parameters such as camera and light positions and magnification.
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基于局部表面法向分析的RTI数据变化识别方法在文物研究中的应用
文化遗产(CH)表面变化的识别包括几个因素,如来自表面的噪声,来自采集系统的误差,以及在一次框架中两个阶段信息的对齐。在变更识别的后处理流程中,对齐总是会在计算变更时产生偏差。本文提出了一种处理从模拟反射变换成像(RTI)获取的表面法线的管道。在这项工作中,我们提出了相邻像素的正态分布分析,以提高变化检测方法的可信度。为了证明基于正态分布的分割方法是正确的,我们决定对模拟RTI采集进行研究。这将有助于我们消除上述错误和噪音,并检查其有效性。我们考虑了对相邻像素的正态分布进行视觉检查,并设置了几个参数来分组表面变化的几个行为。从分割中,还可以根据每个表面阶段的分割像素计数进行半定量变化计算。将考虑的参数归一化,使该方法独立于诸如相机和光源位置以及放大倍数等采集参数。
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