Novel VSLAM positioning through synthetic data and deep learning: Applications in virtual archaeology, ArQVIA

IF 3.5 2区 综合性期刊 0 ARCHAEOLOGY
Alicia Colmenero-Fernández
{"title":"Novel VSLAM positioning through synthetic data and deep learning: Applications in virtual archaeology, ArQVIA","authors":"Alicia Colmenero-Fernández","doi":"10.1016/j.culher.2025.04.004","DOIUrl":null,"url":null,"abstract":"<div><div>Virtual archaeology enhances the visitor’s understanding of historical sites through 3D reconstructions of original locations. However, a major obstacle to interactive visualization is the VSLAM (Visual Simultaneous Localization and Mapping) problem, which revolves around accurately matching real-world positions with scaled virtual replicas. Current methods—such as marker recognition or image feature comparison against keyframes or point clouds—often involve high computational costs, complex setups, or software dependencies (embedded systems, GPUs, library compilations).</div><div>Our proposed method leverages Content-Based Image Retrieval (CBIR) to match RGB input images taken on-site with features learned from photogrammetric models. A single image is transmitted via a server-based system, and an easy-to-use request-response interface is guided by the gyroscope. A 360-degree panorama that is in line with the nearest camera perspective is returned after the match. This approach is demonstrated by the mobile app ArQVIA, which makes 3D visualizations accessible and interactive for any monocular device without the need for specialized hardware.</div></div>","PeriodicalId":15480,"journal":{"name":"Journal of Cultural Heritage","volume":"73 ","pages":"Pages 347-357"},"PeriodicalIF":3.5000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cultural Heritage","FirstCategoryId":"103","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1296207425000615","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ARCHAEOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Virtual archaeology enhances the visitor’s understanding of historical sites through 3D reconstructions of original locations. However, a major obstacle to interactive visualization is the VSLAM (Visual Simultaneous Localization and Mapping) problem, which revolves around accurately matching real-world positions with scaled virtual replicas. Current methods—such as marker recognition or image feature comparison against keyframes or point clouds—often involve high computational costs, complex setups, or software dependencies (embedded systems, GPUs, library compilations).
Our proposed method leverages Content-Based Image Retrieval (CBIR) to match RGB input images taken on-site with features learned from photogrammetric models. A single image is transmitted via a server-based system, and an easy-to-use request-response interface is guided by the gyroscope. A 360-degree panorama that is in line with the nearest camera perspective is returned after the match. This approach is demonstrated by the mobile app ArQVIA, which makes 3D visualizations accessible and interactive for any monocular device without the need for specialized hardware.
基于综合数据和深度学习的新型VSLAM定位:在虚拟考古中的应用
虚拟考古通过对原始地点进行三维重建,增强了游客对历史遗址的了解。然而,交互式可视化的一个主要障碍是VSLAM(视觉同步定位和映射)问题,该问题围绕着将真实世界的位置与缩放的虚拟复制品精确匹配。当前的方法(如标记识别或与关键帧或点云进行图像特征比较)通常涉及高计算成本、复杂设置或软件依赖(嵌入式系统、gpu、库编译)。我们提出的方法利用基于内容的图像检索(CBIR)将现场拍摄的RGB输入图像与从摄影测量模型中学习到的特征进行匹配。单个图像通过基于服务器的系统传输,并由陀螺仪引导一个易于使用的请求-响应接口。与最近的摄像机视角一致的360度全景在比赛结束后返回。移动应用ArQVIA演示了这种方法,它使任何单目设备都可以访问和交互3D可视化,而无需专门的硬件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Cultural Heritage
Journal of Cultural Heritage 综合性期刊-材料科学:综合
CiteScore
6.80
自引率
9.70%
发文量
166
审稿时长
52 days
期刊介绍: The Journal of Cultural Heritage publishes original papers which comprise previously unpublished data and present innovative methods concerning all aspects of science and technology of cultural heritage as well as interpretation and theoretical issues related to preservation.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信