Virtual Restoration System for 3D Digital Cultural Relics Based on a Fuzzy Logic Algorithm

Feng Li, Yongli Gao, A. Candeias, Yao Wu
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Abstract

This research proposes a virtual restoration system and method for 3D digital cultural relics based on a fuzzy logic algorithm, aiming to solve the problems of the low classification accuracy and poor splicing effect of Terra Cotta Warrior fragments. This method adopts a series of steps to improve the efficiency and accuracy of fragment splicing. Firstly, features such as curvature, torsion, and left and right chord lengths were extracted from the fracture surface contour lines of the cultural relic fragments to form feature vectors. Then, the feature vector was fused and compressed by using the multilayer perceptron. The multilayer perceptron is a neural network model that can process and learn input data via multiple levels of computation, resulting in more expressive feature representations. Next, we used the calculation results of the multilayer perceptron to perform the splicing operation on the fragments. This means that, based on the calculation results of the feature vectors, the system can automatically select appropriate splicing methods to accurately match and splice fragments. Finally, by adjusting the weight of the multilayer perceptron, the error rate of fragment splicing can be reduced, further improving the accuracy of repair. The experimental results show that the method proposed in this article is significantly better than traditional methods in terms of time consumption and can effectively improve the efficiency of fragment matching and stitching. Conclusion: The fragment-stitching algorithm based on multi-feature adaptive fusion improved the speed and effectiveness of stitching in fragment-stitching tasks. In summary, the fragment-stitching algorithm based on multi-feature adaptive fusion can improve the speed and effectiveness of stitching in fragment-stitching tasks. The application of this method is expected to play an important role in the field of cultural relic protection, such as the restoration of Terra Cotta Warrior fragments.
基于模糊逻辑算法的三维数字文物虚拟修复系统
本研究针对兵马俑碎片分类精度低、拼接效果差的问题,提出了一种基于模糊逻辑算法的三维数字文物虚拟修复系统和方法。该方法采用一系列步骤,提高了片段拼接的效率和准确性。首先,从文物碎片的断裂面轮廓线中提取曲率、扭转、左右弦长等特征,形成特征向量;然后,利用多层感知器对特征向量进行融合和压缩。多层感知器是一种神经网络模型,可以通过多层计算处理和学习输入数据,从而产生更具表现力的特征表示。接下来,我们利用多层感知器的计算结果对碎片进行拼接操作。这意味着,系统可以根据特征向量的计算结果,自动选择合适的拼接方法,对碎片进行精确匹配和拼接。最后,通过调整多层感知器的权重,可以降低片段拼接的错误率,进一步提高修复的精度。实验结果表明,本文提出的方法在时间消耗方面明显优于传统方法,可以有效提高片段匹配和拼接的效率。结论:基于多特征自适应融合的碎片拼接算法提高了碎片拼接任务的拼接速度和效率。综上所述,基于多特征自适应融合的片段拼接算法可以提高片段拼接任务的拼接速度和效率。该方法的应用有望在兵马俑碎片修复等文物保护领域发挥重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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