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纸质出版日期： 2023-06-16 ，
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耿国华， 贺小伟， 王美丽， 袁庆曙， 尹国军， 许阳， 潘志庚. 2023. 元宇宙下的智慧博物馆研究进展. 中国图象图形学报， 28(06):1567-1584
Geng Guohua， He Xiaowei， Wang Meili， Yuan Qingshu， Yin Guojun， Xu Yang， Pan Zhigeng. 2023. Research progress on wisdom museums in metaverse. Journal of Image and Graphics， 28(06):1567-1584
中华民族拥有五千年的灿烂文化，各民族在各个历史阶段创造出的文物是中华民族繁荣昌盛的见证。博物馆作为文物收藏、文化展示的公共平台，在我国文化传承的过程中起着重要作用，随着科技的发展，当前博物馆已经步入智慧化建设时代。本文对数字化采集技术、文物真实感重建技术、虚拟结合智能交互和智慧平台建设等关键技术进行了对比分析，对诸多数字博物馆与艺术机构的案例进行了比较研究，对在元宇宙下建设智慧博物馆的发展趋势进行了展望。元宇宙技术融入智慧博物馆建设，是把握新一轮科技革命和产业变革新机遇的战略方向，有利于博物馆的数字化建设，有利于保护和发展中国优秀传统文化，对促进文化繁荣、构筑文化自信以及建设文化强国具有重要意义。
The preservation and exhibition of cultural relics have been concerned more nowadays， in which number of worldwide museums is even higher at about 55 097 and all the artefacts have been melted into. In China， total number of museums can be reached to 6 183， and it has involved 108 million state-owned movable cultural relics （sets） and 767 000 immovable cultural relics nationwide recently. Traditional museums are mainly focused on display cases， pictures， and other related audio-visual materials. Current digitization of cultural objects is beneficial to optimize traditional methods further. First， standard and consistent preservation can be introduced to alleviate natural-derived irreversible damage challenges to cultural objects. Next， it facilitates diverse ways of displaying cultural relics， which can enhance public awareness for appreciate heritage in a holistic， multi-angle， and three-dimensional manner. In recent years， the development of information technology has harnessed the emergence of many new conservation techniques and ways of displaying heritage， such as deep learning based 3D reconstruction and intelligent museums-oriented metaverse technologies of virtual reality. The digitization of museums has been launched globally in the context of digitization of collection resources since 1990s. But， the following digital museums are still challenged to deal with the problem of museum-across integrated resources. Such worldwide research projects for intelligent museums construction has been called for further. The goal of a smart museum is aimed to create a feasible intelligent ecosystem for museum-relevant domains. We review global-contextual technologies， in which four category of such key technologies in relevance to digital acquisition， heritage realism reconstruction， virtual-intelligent-integrated interaction， and smart platform construction. For digital acquisition of cultural relics， we illustrate and analyze the two most common types of methods in related to 3D scanning and close-up photogrammetry. For the realistic reconstruction technology of cultural relics， geometric processing and deep learning-based methods are focused on in terms of 3D reconstruction model analysis. For virtual-intelligent-integrated interaction， a variety of interaction methods are demonstrated in related to such aspects of multimodality， gesture， and handling. For the construction of smart platforms， we summarize some emerging technologies， and the final artistic results are described and achieved. The case study analysis is based on such famous multination museums of the Louvre Museum in France， the Hermitage Museum in Russia， the Palace Museum in Beijing and other related world-renowned museums. We sort out that the commonly-used construction process of smart museums for cultural relics through collection of digital information， three-dimensional reconstruction， and the integration of multiple virtual interaction. The consensus is focused on improving conservation measures and inherit culture. At the same time， potential metaverse technology can be used to build metaverse museum platforms further. Finally， modernizing museums analysis is focused on and its relevant tools and technologies has been focused on metaverse-related technologies. In the future， such emerging metaverse technologies can be used to predicted and integrated into the construction of smart museums as well like blockchain technology， computing and storage， artificial intelligence， and brain-computer Interface. It is focused on the integrated and intelligent construction of museums， and more ultimate and immersive experience can be melted into visitors experiences. To sum up， to promote the development and preservation of global civilization， metaverse technology-integrated intelligent museums are required for its integrated construction in relevance to human cognitive abilities and behavioral patterns.
元宇宙智慧博物馆数字化采集三维重建虚拟交互
metaversewisdom museumdigital acquisition3d reconstructionvirtual interaction
AlMuraikhi N， AlMalki F， AlDahnim F and Halabi O. 2021. Virtual reality for rich interaction with cultural heritage sites//Proceedings of the 3rd International Conference on Human-Computer Interaction. ［s.l.］： Springer： 319-328 ［DOI： 10.1007/978-3-030-77414-1_23http://dx.doi.org/10.1007/978-3-030-77414-1_23］
Antlej K， Horan B， Mortimer M， Leen R， Allaman M， Vickers-Rich P and Rich T. 2018. Mixed reality for museum experiences： a co-creative tactile-immersive virtual coloring serious game//Proceedings of the 3rd Digital Heritage International Congress （DigitalHERITAGE） held jointly with the 24th International Conference on Virtual Systems and Multimedia （VSMM 2018）. San Francisco， USA： IEEE： 1-7 ［DOI： 10.1109/DigitalHeritage.2018.8810060http://dx.doi.org/10.1109/DigitalHeritage.2018.8810060］
Caggianese G， De Pietro G， Esposito M， Gallo L， Minutolo A and Neroni P. 2020. Discovering Leonardo with artificial intelligence and holograms： a user study. Pattern Recognition Letters， 131： 361-367 ［DOI： 10.1016/j.patrec.2020.01.006http://dx.doi.org/10.1016/j.patrec.2020.01.006］
Cao D H， Li G F， Zhu W S， Liu Q Y， Bai S P and Li X K. 2019. Virtual reality technology applied in digitalization of cultural heritage. Cluster Computing， 22（S4）： 10063-10074 ［DOI： 10.1007/s10586-017-1071-5http://dx.doi.org/10.1007/s10586-017-1071-5］
Champion E， Kerr R， Rahaman H and McMeekin D. 2021. Time-layered gamic interaction with a virtual museum template//Proceedings of the 8th Euro-Mediterranean Conference. ［s.l.］： Springer： 311-322 ［DOI： 10.1007/978-3-030-73043-7_26http://dx.doi.org/10.1007/978-3-030-73043-7_26］
Charles R Q， Su H， Kaichun M and Guibas L J. 2017. Pointnet： deep learning on point sets for 3D classification and segmentation//Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition. Honolulu， USA： IEEE： 77-85 ［DOI： 10.1109/CVPR.2017.16http://dx.doi.org/10.1109/CVPR.2017.16］
Claisse C. 2016. Crafting tangible interaction to prompt Visitors’ engagement in house museums//Proceedings of the TEI’16： the 10th International Conference on Tangible， Embedded， and Embodied Interaction. New York， USA： Association for Computing Machinery， Eindhoven， the Netherlands： 681-684 ［DOI： 10.1145/2839462.2854107http://dx.doi.org/10.1145/2839462.2854107］
Dai A， Nießner M， Zollhöfer M， Izadi S and Theobalt C. 2017. Bundlefusion： real-time globally consistent 3D reconstruction using on-the-fly surface reintegration. ACM Transactions on Graphics， 36（4）： #76a ［DOI： 10.1145/3072959.3054739http://dx.doi.org/10.1145/3072959.3054739］
Ding J， Zhao M Z and Chen Z J. 2002. The application of close-range photogrammetry in an ancient tomb surveying. Geotechnical Investigation and Surveying， （4）： 54-56
丁军， 赵明泽， 陈祖军. 2002. 利用近景摄影测量进行安丙家族墓文物考古测绘. 工程勘察， （4）： 54-56
Drossis G， Birliraki C and Stephanidis C. 2018. Interaction with immersive cultural heritage environments using virtual reality technologies//Proceedings of 2018 International Conference on Human-Computer Interaction. Las Vegas， USA： Springer： 177-183 ［DOI： 10.1007/978-3-319-92285-0_25http://dx.doi.org/10.1007/978-3-319-92285-0_25］
Fang X G， Wang Z Q and Gao J Q. 2020. Design of gesture interaction system based on leap motion. Machine Design and Research， 36（2）： 128-132， 153
方新国， 王赞强， 高健权. 2020. 基于Leap Motion的手势交互系统设计. 机械设计与研究， 36（2）： 128-132， 153 ［DOI： 10.13952/j.cnki.jofmdr.2020.0070http://dx.doi.org/10.13952/j.cnki.jofmdr.2020.0070］
Feng Y T， Feng Y F， You H X， Zhao X B and Gao Y. 2019. Meshnet： mesh neural network for 3d shape representation//Proceedings of the 33rd AAAI Conference on Artificial Intelligence. Palo Alto， USA： AAAI Press： 8279-8286 ［DOI： 10.1609/aaai.v33i01.33018279http://dx.doi.org/10.1609/aaai.v33i01.33018279］
Figueroa P， Coral M， Boulanger P， Borda J， Londoño E， Vega F， Prieto F and Restrepo D. 2009. Multi-modal exploration of small artifacts： an exhibition at the Gold Museum in Bogota//Proceedings of the 16th ACM Symposium on Virtual Reality Software and Technology. Kyoto， Japan： Association for Computing Machinery： 67-74 ［DOI： 10.1145/1643928.1643945http://dx.doi.org/10.1145/1643928.1643945］
Fitzgerald D and Ishii H. 2018. Mediate： a spatial tangible interface for mixed reality//Extended Abstracts of 2018 CHI Conference on Human Factors in Computing Systems. Montreal， Canada： Association for Computing Machinery： #LBW625 ［DOI： 10.1145/3170427.3188472］
Gajski D， Solter A and Gašparović M. 2016. Applications of macro photogrammetry in archaeology//International Archives of the Photogrammetry， Remote Sensing and Spatial Information Sciences. ［s.l.］： Copernicus Publications： 263-266 ［DOI： 10.5194/isprs-archives-XLI-B5-263-2016http://dx.doi.org/10.5194/isprs-archives-XLI-B5-263-2016］
Galdieri R and Carrozzino M. 2018. Natural interaction in virtual reality for cultural heritage//Proceedings of the 1st International Conference on VR Technologies in Cultural Heritage. Brasov， Romania： Springer： 122-131 ［DOI： 10.1007/978-3-030-05819-7_10http://dx.doi.org/10.1007/978-3-030-05819-7_10］
Geng G H， Feng L， Li K， Zhou M Q and Wang X F. 2021. A literature review on the digitization and virtual restoration of cultural relics in the Mausoleum of Emperor Qinshihuang. Journal of Northwest University （Natural Science Edition）， 51（5）： 710-721
耿国华， 冯龙， 李康， 周明全， 王小凤. 2021. 秦陵文物数字化及虚拟复原研究综述. 西北大学学报（自然科学版）， 51（5）： 710-721 ［DOI： 10.16152/j.cnki.xdxbzr.2021-05-001http://dx.doi.org/10.16152/j.cnki.xdxbzr.2021-05-001］
Geng G H， He X L， Wang M L， Li K and He X W. 2022. Research progress on key technologies of cultural heritage activation. Journal of Image and Graphics， 27（6）： 1988-2007
耿国华， 何雪磊， 王美丽， 李康， 贺小伟. 2022. 文化遗产活化关键技术研究进展. 中国图象图形学报， 27（6）： 1988-2007 ［DOI： 10.11834/jig.220198http://dx.doi.org/10.11834/jig.220198］
Geronikolakis E， Zikas P， Kateros S， Lydatakis N， Georgiou S， Kentros M and Papagiannakis G. 2020. A true AR authoring tool for interactive virtual museums//Liarokapis F， Voulodimos A， Doulamis N， Doulamis A， eds. Visual Computing for Cultural Heritage. Cham， Switzerland： Springer： 225-242 ［DOI： 10.1007/978-3-030-37191-3_12http://dx.doi.org/10.1007/978-3-030-37191-3_12］
Gou Y M and Wu K N. 2020. Application of UAV oblique photogrammetry technology in cultural relic protection and restoration projects. Science and Technology Vision， （28）： 29-30
苟彦梅， 吴凯诺. 2020. 无人机倾斜摄影测量技术在文物保护修复工程的应用. 科技视界， （28）： 29-30 ［DOI： 10.19694/j.cnki.issn2095-2457.2020.28.10http://dx.doi.org/10.19694/j.cnki.issn2095-2457.2020.28.10］
Haala N and Alshawabkeh Y. 2006. Combining laser scanning and photogrammetry： a hybrid approach for heritage documentation//Proceedings of the 7th International Symposium on Virtual Reality， Archaeology and Intelligent Cultural Heritage. Goslar， Germany： The Eurographics Association： 163-170 ［DOI： 10.2312/VAST/VAST06/163-170http://dx.doi.org/10.2312/VAST/VAST06/163-170］
Hayes J and Yoo K. 2018. Virtual reality interactivity in a museum environment//Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology. Tokyo， Japan： Association for Computing Machinery： #131 ［DOI： 10.1145/3281505.3281620http://dx.doi.org/10.1145/3281505.3281620］
Hu S X， Zha H B and Zhang A W. 2006. Modeling method for large-scale cultural heritage sites and objects using real geometric data and real texture data. Journal of System Simulatio， 18（4）： 951-954， 963
胡少兴， 查红彬， 张爱武. 2006. 大型古文物真三维数字化方法. 系统仿真学报， 18（4）： 951-954， 963 ［DOI： 10.3969/j.issn.1004-731X.2006.04.035http://dx.doi.org/10.3969/j.issn.1004-731X.2006.04.035］
Jia D， Wang Z T， Li Y Y， Jin Z Y， Liu Z Y and Wu S. 2022. Multi-stage guidance network for constructing dense depth map based on LiDAR and RGB data. Journal of Image and Graphics， 27（2）： 435-446
贾迪， 王子滔， 李宇扬， 金志杨， 刘泽洋， 吴思. 2022. 结合LiDAR与RGB数据构建稠密深度图的多阶段指导网络. 中国图象图形学报， 27（2）： 435-446 ［DOI： 10.11834/jig.210465http://dx.doi.org/10.11834/jig.210465］
Kar A， Tulsiani S， Carreira J and Malik J. 2015. Category-specific object reconstruction from a single image//Proceedings of 2015 IEEE Conference on Computer Vision and Pattern Recognition. Boston， USA： IEEE： 1966-1974 ［DOI： 10.1109/CVPR.2015.7298807http://dx.doi.org/10.1109/CVPR.2015.7298807］
Kato H， Ushiku Y and Harada T. 2018. Neural 3D mesh renderer//Proceedings of 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City， USA： IEEE： 3907-3916 ［DOI： 10.1109/CVPR.2018.00411http://dx.doi.org/10.1109/CVPR.2018.00411］
Kaufman J， Clement M and Rennie A E. 2015. Reverse engineering using close range photogrammetry for additive manufactured reproduction of Egyptian artifacts and other objets d’art. Journal of Computing and Information Science in Engineering， 15（1）： #011006 ［DOI： 10.1115/1.4028960http://dx.doi.org/10.1115/1.4028960］
Kim S， Ko H， Hong J Y and Choi H. 2019. A study on experience contents of Baekje Muryeong royal tomb using virtual reality. Journal of Ambient Intelligence and Humanized Computing： 1-8 ［DOI： 10.1007/s12652-019-01506-9http://dx.doi.org/10.1007/s12652-019-01506-9］
Koutsabasis P and Vosinakis S. 2018. Kinesthetic interactions in museums： conveying cultural heritage by making use of ancient tools and （re-） constructing artworks. Virtual Reality， 22（2）： 103-118 ［DOI： 10.1007/s10055-017-0325-0http://dx.doi.org/10.1007/s10055-017-0325-0］
Kumawat S and Raman S. 2019. LP-3DCNN： unveiling local phase in 3D convolutional neural networks//Proceedings of 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Long Beach， USA： IEEE： 4898-4907 ［DOI： 10.1109/CVPR.2019.00504http://dx.doi.org/10.1109/CVPR.2019.00504］
Lerma J L， Navarro S， Cabrelles M and Villaverde V. 2010. Terrestrial laser scanning and close range photogrammetry for 3D archaeological documentation： the Upper Palaeolithic Cave of Parpalló as a case study. Journal of Archaeological Science， 37（3）： 499-507 ［DOI： 10.1016/j.jas.2009.10.011http://dx.doi.org/10.1016/j.jas.2009.10.011］
Li J X， Chen B M and Lee G H. 2018. SO-Net： self-organizing network for point cloud analysis//Proceedings of 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City， USA： IEEE： 9397-9406 ［DOI： 10.1109/CVPR.2018.00979http://dx.doi.org/10.1109/CVPR.2018.00979］
Li M， Diao C Y， Ge Y F， Qiu L S and Li L. 2021. Digital protection and utilization of Grotto cultural relics. National Remote Sensing Bulletin， 25（12）： 2351-2364
李敏， 刁常宇， 葛云飞， 裘霖山， 李丽. 2021. 石窟寺文物的数字化保护与利用. 遥感学报， 25（12）： 2351-2364 ［DOI： 10.11834/jrs.20211182http://dx.doi.org/10.11834/jrs.20211182］
Liao Y F. 2019. Research on Key Techniques of Automatic 3D Reconstnuction Based on Viewpoint Planning. Shenzhen： Shenzhen University
廖一帆. 2019. 基于视点规划的自动三维重建关键技术研究. 深圳： 深圳大学 ［DOI： 10.27321/d.cnki.gszdu.2019.000398http://dx.doi.org/10.27321/d.cnki.gszdu.2019.000398］
Liu J and Geng G H. 2010. 3D reality-based modeling and virtual exhibition technology for culture archaeological sites. Computer Engineering， 36（20）： 286-290
刘军， 耿国华. 2010. 文化遗址的三维真实感建模与虚拟展示技术. 计算机工程， 36（20）： 286-290 ［DOI： 10.3969/j.issn.1000-3428.2010.20.099http://dx.doi.org/10.3969/j.issn.1000-3428.2010.20.099］
Liu W H， Xing P F and Xia J J. 2017. Liangping new year wood-block print virtual experience design. Packaging Engineering， 38（16）： 183-189
刘卫红， 邢鹏飞， 夏进军. 2017. 梁平木版年画虚拟体验设计研究. 包装工程， 38（16）： 183-189 ［DOI： 10.19554/j.cnki.1001-3563.2017.16.040http://dx.doi.org/10.19554/j.cnki.1001-3563.2017.16.040］
Lu H R， Zhang Y， Niu M M， Shui W Y and Zhou M Q. 2015. Three-dimensional virtual reassembling for broken artifact fragments based on leap motion. Journal of System Simulation， 27（12）： 3006-3011， 3017
卢浩然， 张宇， 牛苗苗， 税午阳， 周明全. 2015. 基于Leap motion的三维文物虚拟拼接方法. 系统仿真学报， 27（12）： 3006-3011， 3017 ［DOI： 10.16182/j.cnki.joss.2015.12.018http://dx.doi.org/10.16182/j.cnki.joss.2015.12.018］
Luo X， Luo X J， Guo X Q and Zheng X M. 2022. Application of close-range photogrammetry in 3D model reconstruction of cultural relics. Identification and Appreciation To Cultural Relics， （17）： 136-139
罗旭， 骆希娟， 郭夏琼， 郑晓明. 2022. 近景摄影测量在文物三维模型重建中的应用. 文物鉴定与鉴赏， （17）： 136-139 ［DOI： 10.20005/j.cnki.issn.1674-8697.2022.17.032http://dx.doi.org/10.20005/j.cnki.issn.1674-8697.2022.17.032］
Ma X H， Kang K Z， Zhu R S， Wu H Z and Zhou K. 2021. Free-form scanning of non-planar appearance with neural trace photography. ACM Transactions on Graphics， 40（4）： 1-13 ［DOI： 10.1145/3450626.3459679http://dx.doi.org/10.1145/3450626.3459679］
Ma Z P， Zhou J， Ma J L， Wang Z Z and Li H D. 2021. A new method for constructing 3D realistic virtual model of cultural relics. Modern Electronics Technique， 44（18）： 135-139
马自萍， 周洁， 马金林， 王梓州， 李海东. 2021. 一种新的文物三维真实感虚拟模型构建方法. 现代电子技术， 44（18）： 135-139 ［DOI： 10.16652/j.issn.1004-373x.2021.18.029http://dx.doi.org/10.16652/j.issn.1004-373x.2021.18.029］
Mann L and Fryazinov O. 2019. 3D printing for mixed reality hands-on museum exhibit interaction//Proceedings of ACM SIGGRAPH 2019 Posters. Los Angeles， USA： Association for Computing Machinery： #22 ［DOI： 10.1145/3306214.3338609http://dx.doi.org/10.1145/3306214.3338609］
Maturana D and Scherer S. 2015. VoxNet： a 3D convolutional neural network for real-time object recognition//Proceedings of 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems （IROS）. Hamburg， Germany： IEEE： 922-928 ［DOI： 10.1109/IROS.2015.7353481http://dx.doi.org/10.1109/IROS.2015.7353481］
Miao X， Hou W J and Xu Y N. 2022. Digital innovation of intangible cultural heritage based on virtual reality technology. Packaging Engineering， 43（16）： 303-310， 409
苗秀， 侯文军， 徐雅楠. 2022. 基于虚拟现实技术的非物质化遗产数字化创新研究. 包装工程， 43（16）： 303-310， 409 ［DOI： 10.19554/j.cnki.1001-3563.2022.16.035http://dx.doi.org/10.19554/j.cnki.1001-3563.2022.16.035］
Newcombe R A， Izadi S， Hilliges O， Molyneaux D， Kim D， Davison A J， Kohi P， Shotton J， Hodges S and Fitzgibbon A. 2011. KinectFusion： real-time dense surface mapping and tracking//The 10th IEEE International Symposium on Mixed and Augmented Reality. Basel， Switzerland： IEEE： 127-136 ［DOI： 10.1109/ISMAR.2011.6092378http://dx.doi.org/10.1109/ISMAR.2011.6092378］
Nie S X， Wang T and Cao P. 2019. Three-dimensional cultural relic monitoring technology based on digital close-range photogrammetry and its application. Research on Heritages and Preservation， 4（5）： 78-83
聂士祥， 汪涛， 曹鹏. 2019. 基于数字近景摄影测量的文物三维监测技术及其应用. 遗产与保护研究， 4（5）： 78-83 ［DOI： 10.19490/j.cnki.issn2096-0913.2019.05.016http://dx.doi.org/10.19490/j.cnki.issn2096-0913.2019.05.016］
Pamart A， Guillon O， Faraci S， Gattet E， Genevois M， Vallet J M and De Luca L. 2017. Multispectral photogrammetric data acquisition and processing for wall paintings studies//The 7th ISPRS/CIPA 3D-ARCH International Workshop on “3D Virtual Reconstruction and Visualization of Complex Architectures”. Göttingen， Germany： Copernicus GmbH： 559-566 ［DOI： 10.5194/isprs-archives-XLII-2-W3-559-2017http://dx.doi.org/10.5194/isprs-archives-XLII-2-W3-559-2017］
Pan Z G， Yuan Q S， Chen S N and Zhang M M. 2020. State of the art on the digital presentation and interaction of culture heritage. Journal of Zhejiang University （Science Edition）， 47（3）： 261-273
潘志庚， 袁庆曙， 陈胜男， 张明敏. 2020. 文化遗产数字化展示与互动技术研究与进展. 浙江大学学报（理学版）， 47（3）： 261-273 ［DOI： 10.3785/j.issn.1008-9497.2020.03.001http://dx.doi.org/10.3785/j.issn.1008-9497.2020.03.001］
Qi B B and Zhu X F. 2018. Multi-mode interactive method for digital cultural relics based on haptics. Journal of Image and Graphics， 23（8）： 1218-1230
祁彬斌， 朱学芳. 2018. 引入力触觉的数字文物多模交互方法. 中国图象图形学报， 23（8）： 1218-1230 ［DOI： 10.11834/jig.170583http://dx.doi.org/10.11834/jig.170583］
Qi C R， Yi L， Su H and Guibas L J. 2017. PointNet++： deep hierarchical feature learning on point sets in a metric space//Proceedings of the 31st International Conference on Neural Information Processing Systems. Long Beach， USA： Curran Associates Inc.： 5105-5114
Shan J X. 2019. Cultural heritage must “live” in the present. Policy Research and Exploration， （11）： 67-69
单霁翔. 2019. 文化遗产必须“活”在当下. 决策探索， （11）： 67-69 ［DOI： 10.3969/j.issn.1003-5419.2019.21.030http://dx.doi.org/10.3969/j.issn.1003-5419.2019.21.030］
Sumpeno S， Dharmayasa I G A， Nugroho S M S and Purwitasari D. 2019. Immersive hand gesture for virtual museum using leap motion sensor based on K-nearest neighbor//Proceedings of 2019 International Conference on Computer Engineering， Network， and Intelligent Multimedia （CENIM）. Surabaya， Indonesia： IEEE： 1-6 ［DOI： 10.1109/CENIM48368.2019.8973273http://dx.doi.org/10.1109/CENIM48368.2019.8973273］
Sun Y B， Liu Z W， Wang Y and Sarma S E. 2018. Im2Avatar： colorful 3D reconstruction from a single image ［EB/OL］. ［2023-01-02］. https://arxiv.org/pdf/1804.06375.pdfhttps://arxiv.org/pdf/1804.06375.pdf
Sun Y D， Wu J， Xiang Y L and Wu W D. 2019. A combination of 3D animation and physical interaction technology for the conservation and communication of immovable cultural relics —— an example of the former residence of Zhang Shiming in Huzhou. Journal of News Research， 10（3）： 9-12
孙以栋， 吴洁， 项亚量， 吴炜栋. 2019. 三维动画与体感交互技术结合下的不可移动文物保护传播实践——以湖州市张石铭故居为例. 新闻研究导刊， 10（3）： 9-12 ［DOI： 10.3969/j.issn.1674-8883.2019.03.007http://dx.doi.org/10.3969/j.issn.1674-8883.2019.03.007］
Tao J H， Wu Y C， Yu C， Weng D D， Li G J， Han T， Wang Y T and Liu B. 2022. A survey on multi-modal human-computer interaction. Journal of Image and Graphics， 27（6）： 1956-1987
陶建华， 巫英才， 喻纯， 翁冬冬， 李冠君， 韩腾， 王运涛， 刘斌. 2022. 多模态人机交互综述. 中国图象图形学报， 27（6）： 1956-1987 ［DOI： 10.11834/jig.220151http://dx.doi.org/10.11834/jig.220151］
Wang F J H， Galliani S， Vogel C， Speciale P and Pollefeys M. 2021. PatchmatchNet： learned multi-view patchmatch stereo//Proceedings of 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville， USA： IEEE： 14189-14198 ［DOI： 10.1109/CVPR46437.2021.01397http://dx.doi.org/10.1109/CVPR46437.2021.01397］
Wang G J， Wang P L， Jia W Q， Yang X X and Chen X H. 2021. Design of digital museum of huangmei opera based on virtual reality technology. Journal of Anqing Normal University （Social Science Edition）， 40（4）： 98-103
王广军， 王鹏林， 贾玟卿， 杨笑笑， 陈晓慧. 2021. 基于虚拟现实技术的黄梅戏数字博物馆设计. 安庆师范大学学报 （社会科学版）， 40（4）： 98-103 ［DOI： 10.13757/j.cnki.cn34-1329/c.2021.04.016http://dx.doi.org/10.13757/j.cnki.cn34-1329/c.2021.04.016］
Wang N Y， Zhang Y D， Li Z W， Fu Y W， Liu W and Jiang Y G. 2018. Pixel2Mesh： generating 3D mesh models from single RGB images//Proceedings of the 15th European Conference on Computer Vision. Munich， Germany： Springer： 55-71 ［DOI： 10.1007/978-3-030-01252-6_4http://dx.doi.org/10.1007/978-3-030-01252-6_4］
Wang X Q， Huang J and Zhang Z Y. 2017. Design and implementation of virtual interactive display system based on Kinect. Cyber Security and Data Governance， 36（2）： 41-43， 47
王向强， 黄俊， 张作运. 2017. 基于Kinect虚拟文物互动展示系统的设计与实现. 微型机与应用， 36（2）： 41-43， 47 ［DOI： 10.19358/j.issn.1674-7720.2017.02.014http://dx.doi.org/10.19358/j.issn.1674-7720.2017.02.014］
Wang Y， Liu P Y and Si Z M. 2022. Virtual interactive scene design for digital protection and practice of action intangible cultural heritage. Industrial and Engineering Design， 4（4）： 35-40， 77
王妍， 刘澍岳， 司峥鸣. 2022. 基于具身认知的动作类非遗虚拟交互场景设计. 工业工程设计， 4（4）： 35-40， 77 ［DOI： 10.19798/j.cnki.2096-6946.2022.04.005http://dx.doi.org/10.19798/j.cnki.2096-6946.2022.04.005］
Wei Y Y. 2022. On activation of culture-tourism integration in Jiangsu section of the grand canal based on VR application —— a case study on the digitalization of lntangible cultura heritage. Journal of Changzhou Institute of Technology（Social Science Edition）， 40（3）： 5-10
魏砚雨. 2022. 基于VR应用的大运河江苏段文旅融合活态化研究——以非遗数字化研究为例. 常州工学院学报（社科版）， 40（3）： 5-10 ［DOI： 10.3969/j.issn.1673-0887.2022.03.002http://dx.doi.org/10.3969/j.issn.1673-0887.2022.03.002］
Wu J C， Chen H L， Liu X L， Cao L C， Peng X and Jin G F. 2019. Unsupervised texture reconstruction method using bidirectional similarity function for 3-D measurements. Optics Communications， 439： 85-93 ［DOI： 10.1016/j.optcom.2019.01.051http://dx.doi.org/10.1016/j.optcom.2019.01.051］
Xin S M， Nousias S， Kutulakos K N， Sankaranarayanan A C， Narasimhan S G and Gkioulekas I. 2019. A theory of Fermat paths for non-line-of-sight shape reconstruction//Proceedings of 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Long Beach， USA： IEEE： 6793-6802 ［DOI： 10.1109/CVPR.2019.00696http://dx.doi.org/10.1109/CVPR.2019.00696］
Xu H B， Zhou Z P， Qiao Y， Kang W X and Wu Q X. 2021. Self-supervised multi-view stereo via effective co-segmentation and data-augmentation//Proceedings of the 35th AAAI Conference on Artificial Intelligence. Palo Alto， USA： AAAI Press： 3030-3038 ［DOI： 10.1609/aaai.v35i4.16411http://dx.doi.org/10.1609/aaai.v35i4.16411］
Xu W W， Zhou Y， Wu H Z and Guo J. 2021. Differential rendering： a survey. Journal of Image and Graphics， 26（6）： 1521-1535
许威威， 周漾， 吴鸿智， 过洁. 2021. 可微绘制技术研究进展. 中国图象图形学报， 26（6）： 1521-1535 ［DOI： 10.11834/jig.200853http://dx.doi.org/10.11834/jig.200853］
Xu X T. 2022. Research on the design and production of immersive interactive images of Ming Great Wall cultural heritage based on VR technology. Advanced Motion Picture Technology， （6）： 35-40
徐小棠. 2022. 基于VR技术的明长城文化遗产沉浸式交互影像设计与制作研究. 现代电影技术， （6）： 35-40
Xue J S， Yi H， Wu Z H and Chen X N. 2020. A hybrid multi-view 3D reconstruction method based on scene graph partitio. Acta Automatica Sinica， 46（4）： 782-795
薛俊诗， 易辉， 吴止锾， 陈向宁. 2020. 一种基于场景图分割的混合式多视图三维重建方法. 自动化学报， 46（4）： 782-795 ［DOI： 10.16383/j.aas.c180155http://dx.doi.org/10.16383/j.aas.c180155］
Yao Y， Luo Z X， Li S W， Shen T W， Fang T and Quan L. 2019. Recurrent MVSNet for high-resolution multi-view stereo depth inference//Proceedings of 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Long Beach， USA： IEEE： 5520-5529 ［DOI： 10.1109/CVPR.2019.00567http://dx.doi.org/10.1109/CVPR.2019.00567］
Yi Y and Shutao E J. 2017. The application of virtual reality technology to heritage conservation in Famagusta’s Armenian church//Walsh M J K ed. The Armenian Church of Famagusta and the Complexity of Cypriot Heritage. Cham， Switzerland： Palgrave Macmillan：313-323 ［DOI： 10.1007/978-3-319-48502-7_16http://dx.doi.org/10.1007/978-3-319-48502-7_16］
Yin G J， Wu J Y and Liu Y. 2021. Research and practice on digital protection of river tools from the perspective of creation culture. Packaging Engineering， 42（22）： 54-61
尹国军， 吴建勇， 刘阳. 2021. 造物文化视角下《河工器具图说》数字化保护研究与实践. 包装工程， 42（22）： 54-61 ［DOI： 10.19554/j.cnki.1001-3563.2021.22.009http://dx.doi.org/10.19554/j.cnki.1001-3563.2021.22.009］
Yu S J， Wu J， Wang C X， Yu T X and Hu Z M. 2021. Research on the high fidelity 3D reconstruction method for painted sculptures in Cave No.45 of Mogao Grottoes in Dunhuang. Sciences of Conservation and Archaeology， 33（3）： 10-18
余生吉， 吴健， 王春雪， 俞天秀， 胡琢民. 2021. 敦煌莫高窟第45窟彩塑高保真三维重建方法研究. 文物保护与考古科学， 33（3）： 10-18 ［DOI： 10.16334/j.cnki.cn31-1652/k.20200801846http://dx.doi.org/10.16334/j.cnki.cn31-1652/k.20200801846］
Yu X M， Rao Y M， Wang Z Y， Liu Z Y， Lu J W and Zhou J. 2021. PoinTr： diverse point cloud completion with geometry-aware transformers//Proceedings of 2021 IEEE/CVF International Conference on Computer Vision. Montreal， Canada： IEEE： 12498-12507 ［DOI： 10.1109/ICCV48922.2021.01227http://dx.doi.org/10.1109/ICCV48922.2021.01227］
Zhang J W and Zuo L L. 2018. Kaihuasi： buddhist art and architecture in virtual reality ［EB/OL］. （2018-03） ［2023-01-02］. http://archaeology.pku.edu.cn/info/1043/2142.htmhttp://archaeology.pku.edu.cn/info/1043/2142.htm
Zhang L， Zhao W X， Qiu Y and Xu W G. 2021. Communication mode of architectural cultural heritage based on natural interaction： taking the Jinlian Bridge as an example. Packaging Engineering， 42（22）： 20-25
章立， 赵文轩， 邱钰， 许文广. 2021. 基于自然交互的建筑文化遗产传播模式研究——以金莲桥为例. 包装工程， 42（22）： 20-25 ［DOI： 10.19554/j.cnki.1001-3563.2021.22.004http://dx.doi.org/10.19554/j.cnki.1001-3563.2021.22.004］
Zhang S and Yang D H. 2018. Key technology application of 3D modeling of two dimensional image in digital close range photogrammetry. Computer Engineering and Software， 39（2）： 133-138
张数， 杨德宏. 2018. 数字近景摄影测量的二维影像三维建模的关键技术应用. 软件， 39（2）： 133-138 ［DOI： 10.3969/j.issn.1003-6970.2018.02.025http://dx.doi.org/10.3969/j.issn.1003-6970.2018.02.025］
Zhang Y J. 2017. On the use of virtual reality technology in the conservation of tangible cultural heritage —— ancient red brick houses in Southern Fujian as an example. Art Education Research， 10： 30-32， 35
张怡静. 2017. 论虚拟现实技术在物质文化遗产保护中的运用——以闽南红砖古厝为例. 美术教育研究， （10）： 30-32， 35 ［DOI： 10.3969/j.issn.1674-9286.2017.10.023http://dx.doi.org/10.3969/j.issn.1674-9286.2017.10.023］
Zhou J L， Zhou M Q， Geng G H and Wang X F. 2016. Local geometric features extraction and matching algorithm of cultural relic surface based on shape index. Computer Engineering， 42（10）： 261-265， 270
周继来， 周明全， 耿国华， 王小凤. 2016. 基于形状指数的文物表面局部几何特征提取与匹配算法. 计算机工程， 42（10）： 261-265， 270 ［DOI： 10.3969/j.issn.1000-3428.2016.10.045http://dx.doi.org/10.3969/j.issn.1000-3428.2016.10.045］
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