• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

采用多传感器框架对雕塑艺术品进行 3D 重建和修复监测。

3D reconstruction and restoration monitoring of sculptural artworks by a multi-sensor framework.

机构信息

Department of Mechanical, Nuclear and Production Engineering, University of Pisa, Largo Lucio Lazzarino, n.1, 56126 Pisa, Italy.

出版信息

Sensors (Basel). 2012 Dec 6;12(12):16785-801. doi: 10.3390/s121216785.

DOI:10.3390/s121216785
PMID:23223079
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3571811/
Abstract

Nowadays, optical sensors are used to digitize sculptural artworks by exploiting various contactless technologies. Cultural Heritage applications may concern 3D reconstructions of sculptural shapes distinguished by small details distributed over large surfaces. These applications require robust multi-view procedures based on aligning several high resolution 3D measurements. In this paper, the integration of a 3D structured light scanner and a stereo photogrammetric sensor is proposed with the aim of reliably reconstructing large free form artworks. The structured light scanner provides high resolution range maps captured from different views. The stereo photogrammetric sensor measures the spatial location of each view by tracking a marker frame integral to the optical scanner. This procedure allows the computation of the rotation-translation matrix to transpose the range maps from local view coordinate systems to a unique global reference system defined by the stereo photogrammetric sensor. The artwork reconstructions can be further augmented by referring metadata related to restoration processes. In this paper, a methodology has been developed to map metadata to 3D models by capturing spatial references using a passive stereo-photogrammetric sensor. The multi-sensor framework has been experienced through the 3D reconstruction of a Statue of Hope located at the English Cemetery in Florence. This sculptural artwork has been a severe test due to the non-cooperative environment and the complex shape features distributed over a large surface.

摘要

如今,光学传感器被用于通过利用各种非接触技术对雕塑艺术品进行数字化。文化遗产应用可能涉及到通过对齐几个高分辨率的 3D 测量来可靠地重建具有分布在大表面上的小细节的雕塑形状的 3D 重建。本文提出了一种将 3D 结构光扫描仪和立体摄影测量传感器集成在一起的方法,目的是可靠地重建大型自由形状的艺术品。结构光扫描仪从不同的视角提供高分辨率的范围图。立体摄影测量传感器通过跟踪集成到光学扫描仪中的标记框架来测量每个视角的空间位置。该过程允许计算旋转-平移矩阵,将范围图从局部视角坐标系转换到由立体摄影测量传感器定义的唯一全局参考系。通过参考与修复过程相关的元数据,可以进一步增强艺术品的重建。在本文中,开发了一种使用被动立体摄影测量传感器捕获空间参考来将元数据映射到 3D 模型的方法。通过在佛罗伦萨的英国公墓的希望雕像的 3D 重建,体验了多传感器框架。由于非合作环境和分布在大表面上的复杂形状特征,这个雕塑艺术品是一个严峻的挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/f22f3c05a3f3/sensors-12-16785f14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/81bcbf1685cf/sensors-12-16785f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/eaa0bdbd7b9a/sensors-12-16785f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/9a4431fa55d1/sensors-12-16785f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/9444c43f0bfd/sensors-12-16785f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/b4915019e019/sensors-12-16785f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/45af8d298f60/sensors-12-16785f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/9202ea9c1790/sensors-12-16785f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/fe458087a5a8/sensors-12-16785f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/17b999b4171a/sensors-12-16785f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/eb4e2135317b/sensors-12-16785f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/b6ea08d50496/sensors-12-16785f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/73b1ccb94300/sensors-12-16785f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/657870b46d42/sensors-12-16785f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/f22f3c05a3f3/sensors-12-16785f14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/81bcbf1685cf/sensors-12-16785f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/eaa0bdbd7b9a/sensors-12-16785f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/9a4431fa55d1/sensors-12-16785f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/9444c43f0bfd/sensors-12-16785f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/b4915019e019/sensors-12-16785f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/45af8d298f60/sensors-12-16785f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/9202ea9c1790/sensors-12-16785f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/fe458087a5a8/sensors-12-16785f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/17b999b4171a/sensors-12-16785f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/eb4e2135317b/sensors-12-16785f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/b6ea08d50496/sensors-12-16785f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/73b1ccb94300/sensors-12-16785f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/657870b46d42/sensors-12-16785f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ad/3571811/f22f3c05a3f3/sensors-12-16785f14.jpg

相似文献

1
3D reconstruction and restoration monitoring of sculptural artworks by a multi-sensor framework.采用多传感器框架对雕塑艺术品进行 3D 重建和修复监测。
Sensors (Basel). 2012 Dec 6;12(12):16785-801. doi: 10.3390/s121216785.
2
Technical Consideration towards Robust 3D Reconstruction with Multi-View Active Stereo Sensors.多视角主动立体传感器的稳健 3D 重建技术考虑
Sensors (Basel). 2022 May 30;22(11):4142. doi: 10.3390/s22114142.
3
A 3D freehand ultrasound system for multi-view reconstructions from sparse 2D scanning planes.一种用于从稀疏 2D 扫描平面进行多视图重建的 3D 自由手超声系统。
Biomed Eng Online. 2011 Jan 20;10:7. doi: 10.1186/1475-925X-10-7.
4
Dense range map reconstruction from a versatile robotic sensor system with an active trinocular vision and a passive binocular vision.基于具有主动三目视觉和被动双目视觉的通用机器人传感器系统的密集距离图重建。
Appl Opt. 2008 Apr 10;47(11):1927-39. doi: 10.1364/ao.47.001927.
5
Accuracy analysis of a multi-view stereo approach for phenotyping of tomato plants at the organ level.用于番茄植株器官水平表型分析的多视角立体视觉方法的准确性分析
Sensors (Basel). 2015 Apr 24;15(5):9651-65. doi: 10.3390/s150509651.
6
Evaluation of Geometric Data Registration of Small Objects from Non-Invasive Techniques: Applicability to the HBIM Field.从非侵入性技术评估小物体的几何数据配准:在 HBIM 领域的适用性。
Sensors (Basel). 2023 Feb 3;23(3):1730. doi: 10.3390/s23031730.
7
EndoAbS dataset: Endoscopic abdominal stereo image dataset for benchmarking 3D stereo reconstruction algorithms.EndoAbS数据集:用于3D立体重建算法基准测试的内窥镜腹部立体图像数据集。
Int J Med Robot. 2018 Oct;14(5):e1926. doi: 10.1002/rcs.1926. Epub 2018 Jul 3.
8
Integration with 3D Visualization and IoT-Based Sensors for Real-Time Structural Health Monitoring.与 3D 可视化和基于物联网的传感器集成,实现实时结构健康监测。
Sensors (Basel). 2021 Oct 21;21(21):6988. doi: 10.3390/s21216988.
9
Use of Low-Cost Spherical Cameras for the Digitisation of Cultural Heritage Structures into 3D Point Clouds.使用低成本球形相机将文化遗产建筑数字化为三维点云
J Imaging. 2022 Jan 17;8(1):13. doi: 10.3390/jimaging8010013.
10
Noninvasive computerized scanning method for the correlation between the facial soft and hard tissues for an integrated three-dimensional anthropometry and cephalometry.用于综合三维人体测量学和头影测量学中面部软硬组织相关性的无创计算机扫描方法。
J Craniofac Surg. 2013 May;24(3):797-804. doi: 10.1097/SCS.0b013e31828dcc81.

引用本文的文献

1
A Self-Assessment Stereo Capture Model Applicable to the Internet of Things.一种适用于物联网的自评估立体捕捉模型。
Sensors (Basel). 2015 Aug 21;15(8):20925-44. doi: 10.3390/s150820925.
2
A Cross Structured Light Sensor and Stripe Segmentation Method for Visual Tracking of a Wall Climbing Robot.一种用于壁面攀爬机器人视觉跟踪的十字结构光传感器及条纹分割方法。
Sensors (Basel). 2015 Jun 11;15(6):13725-51. doi: 10.3390/s150613725.
3
Digitization and visualization of greenhouse tomato plants in indoor environments.室内环境中温室番茄植株的数字化与可视化

本文引用的文献

1
State-of-The-Art and Applications of 3D Imaging Sensors in Industry, Cultural Heritage, Medicine, and Criminal Investigation.三维成像传感器在工业、文化遗产、医学和刑事调查中的最新技术和应用。
Sensors (Basel). 2009;9(1):568-601. doi: 10.3390/s90100568. Epub 2009 Jan 20.
2
Assessment of chronic wounds by three-dimensional optical imaging based on integrating geometrical, chromatic, and thermal data.基于整合几何、色彩和热数据的三维光学成像对慢性伤口的评估。
Proc Inst Mech Eng H. 2011 Feb;225(2):181-93. doi: 10.1243/09544119JEIM705.
3
Fusion of range camera and photogrammetry: a systematic procedure for improving 3-D models metric accuracy.
Sensors (Basel). 2015 Feb 10;15(2):4019-51. doi: 10.3390/s150204019.
4
A compact 3D omnidirectional range sensor of high resolution for robust reconstruction of environments.一种用于稳健环境重建的紧凑型高分辨率3D全向距离传感器。
Sensors (Basel). 2015 Jan 22;15(2):2283-308. doi: 10.3390/s150202283.
5
Structured-light sensor using two laser stripes for 3D reconstruction without vibrations.使用两条激光条纹进行三维重建且无振动的结构光传感器。
Sensors (Basel). 2014 Oct 24;14(11):20041-63. doi: 10.3390/s141120041.
深度相机与摄影测量的融合:提高三维模型度量精度的系统方法
IEEE Trans Syst Man Cybern B Cybern. 2003;33(4):667-76. doi: 10.1109/TSMCB.2003.814282.
4
High-accuracy 3-D modeling of cultural heritage: the digitizing of Donatello's "Maddalena".
IEEE Trans Image Process. 2004 Mar;13(3):370-80. doi: 10.1109/tip.2003.822592.