文物三维重建中应用改进U-Net的环境噪声处理方法

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中图分类号： TP399 文献标志码：A DOI：10.13338/j.issn.1674-649x.2025.02.012

Environmental noise processing method based on improved U²-Net in 3D reconstruction of cultural relics

YANG Pengcheng' ，WANGJiahao1，ZHU Jingyi1，CUI Jiabao² （1.School of Mechanical and Electrical Engineering，Xi'an Polytechnic University，Xi'an 710o48，China; 2. Institute of Archaeology，Chinese Academy of Social Sciences，Beijing lOolOl，China）

Abstract When collecting image data for 3D reconstruction at real scenes，it is often diffcult to avoid environmental noise interference，which affects the quality and accuracy of modeling.Therefore，it is necessary to process the relevant noise to accurately extract the main features of cultural relics.To address this issue，a multi-view 3D reconstruction analysis of bronze sculptures on campus was conducted based on an improved U2 -Net neural network. Firstly，an attention mechanism was added to the U2 -Net neural network to improve the segmentation accuracy of the network for cultural relics，thereby obtaining images that only contain the features of cultural relics，and segmenting cultural relics in three different environments.Finally，the monocular multi-view 3D reconstruction method was used to model the preprocessed images. The experimental results show that the improved U2 -Net neural network has higher segmentation accuracy for the main features of cultural relics and is suitable for processing diverse environmental noise. The processed images reduce the reprojection error by about 25% and the root mean square projection error by 2/3 during the 3D modeling process. The modeling time is reduced by a total of 25% ：

Keywords digitalization of cultural relics; 3D reconstruction; image denoising; U2 -Net;multiview 3D reconstruction

0引言

文物是无价珍宝，代表着我们文明的延续与中华民族优秀文化的传承。（剩余11871字）