3D reconstruction of movable cultural relics based on salient region optimization

作     者：Wang Wenhao Zhao Haiying Wang Wenhao;Zhao Haiying

作者机构：School of Information and Communication EngineeringBeijing Information Science and Technology UniversityBeijing 100192China School of Artificial IntelligenceBeijing University of Posts and TelecommunicationsBeijing 100876China 

出 版 物：《The Journal of China Universities of Posts and Telecommunications》 (中国邮电高校学报（英文版）)

年 卷 期：2023年第30卷第5期

页      面：11-31页

核心收录：

学科分类：0601[历史学-考古学] 06[历史学] 07[理学] 08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 0712[理学-科学技术史(分学科，可授理学、工学、农学、医学学位)] 

基　　金：supported by the National Key Research and Development Project(2021YFF0901700) 

主　　题：digitization of cultural relics 3-dimensional(3D)reconstruction saliency region detection locality-sensetive Hashing(LSH) 

摘      要：How to protect cultural retics is of great significance to the transmission and dissemination of history and *** 3-dimensional(3D)modeling of cultural relics is an effective way to preserve *** efficiency and complexity of cultural relic model reconstruction algorithms are significant challenges due to redundant *** tackle the above issue,a 3D reconstruction algorithm,named COLMAP+LSH,was proposed for movable cultural relics based on salient region ***+LSH algorithm introduces saliency region detection and locality-sensetive Hashing(LSH)to achieve efficient,accurate,and robust digital 3D modeling of cultural ***,400 cultural model data were collected through offline and online ***+LSH algorithm detects the salient region interactively and reduces the number of images in the salient region by feature ***,COLMAP+LSH algorithm utilizes LSH to calculate the image selection scores and employs the image selection scores to reduce the redundant *** experiments on the self-constructed cultural relics dataset show that COLMAP+LSH algorithm can efficiently achieve image feature diffusion and ensure the quality of artifact reconstruction while selecting most of the redundant image data.