Li, Z., & Wang, W. Study of image features between carved Thangka and embroidered Thangka. 21, 367-381. https://doi.org/10.3233/JCM-204506
Zhenjiang Li Weilan WangColor and texture features Edge information Edge similarities Feature space Image analysis Image features Intangible cultural heritages Textures Thangka Tibetans edge highlight and shadow image Feature
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Zhao, D., & Pan, C. Research on the Identification of Hand-Painted Thangka and Printed Thangka Based on Computer Vision Processing Method (Vol. 397 LNICST). In (Vol. 397 LNICST). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-90199-8_20
D. Zhao C. PanApplication programs Boltzmann Cluster analysis Clustering method Clustering methods Computer Vision Design and implementations Employment Ethnic culture Ethnic groups Ethnic Minorities Hand-painted thangka Intangible cultural heritage Intangible cultural heritages LBP algorithm MVC Machine-printed thangka MySQL database Online sales Palmprint recognition processing Processing method Qinghai Tibet plateau Restricted Boltzmann algorithm Restricted boltzmann algorithm Sales Sales management Textures Tibetans Vision processing
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Lyu, L. Research on Interactive Experience and Inheritance Development of Traditional Craft Intangible Cultural Heritage Based on Digital Technology. 19. https://doi.org/10.4018/IJCINI.383671
Linxue LyuComputational efficiency Digital inheritance Digital modeling Digital technologies Geographical limitations Historic preservation Images reconstruction Intangible cultural heritages Inventory Modeling technology Multi-scales Textures Traditional crafts
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Kohyama, K. Oral Sensing of Food Properties. 46, 138-151. https://doi.org/10.1111/jtxs.12099
Kaoru KohyamaChemical analysis Elderly populations heterogeneity Intangible cultural heritages Multiple sensing Nutrition Physical and chemical properties Processed foods Sensing technology Tactile perception Taste receptors Texture Textures
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Hisatomi, K., Tomiyama, K., Katayama, M., & Iwadate, Y. Method of 3D reconstruction using graph cuts, and its application to preserving intangible cultural heritage. 923-930. https://doi.org/10.1109/ICCVW.2009.5457605
K. Hisatomi K. Tomiyama M. Katayama Y. Iwadate3D models Archive systems Computational methods Computer Vision Content based retrieval Cultural heritages Cut-off Edge detection Erosion process Graph-cut Historic preservation Image reconstruction Multiple cameras Target object Texture image Texture mapping Textures Three dimensional Three dimensional computer graphics Video image View-dependent Volume intersection
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Geng, Z., Liu, S., Cui, J., Kang, S. ao, Wang, Y., Liu, W., & Ning, J. Key technologies for digital preservation and inheritance of ethnic costumes. 46, 236-242. https://doi.org/10.13475/j.fzxb.20240707001
Zengmin Geng Shiyu Liu Jian Cui Shen Kang Yongjin Wang Wei Liu Jun Ning3D reconstruction Artificial intelligence tools Automatic classification Clothes Digital restorations Digital storage Dyeing Engines Ethnic costume Historic preservation Intangible cultural heritages Intelligent restoration Metahuman Preservation and inheritance Restoration Textiles Textures Three dimensional computer graphics Unreal engine Visual realities
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Mehta, S., & Kukreja, V. Heritage Coins Classification: An Federated CNN Approach to Analyse Performance of Global and Client-side Models. 141-146. https://doi.org/10.1109/ICSH57060.2023.10482817
S. Mehta V. KukrejaClassification Client sides convolutional neural network convolutional neural network Convolutional neural networks Deep learning Deep learning Digital preservation Digital storage E-learning F1 scores Federated learning Intangible heritage coin Intangible heritage coins Learning systems Modeling approach Performance Side models Textures Transfer learning
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Liu, H. Digital expression and inheritance of the intangible cultural heritage Regong Art. 172-174. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/WARTIA.2014.6976223
H. LiuArts computing Current situation Digital forms Engineering research Intangible cultural heritage Intangible cultural heritages Interaction techniques Interactive technology Material cultures Regong Art Textures Thangka
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Shao, Y. -T., Zhu, Y. -J., Dong, L. -Y., & Zhang, Q. -Q. (2019). A new kind of nanocomposite Xuan paper comprising ultralong hydroxyapatite nanowires and cellulose fibers with a unique ink wetting performance. Rsc Advances, 9, 40750-40757. https://doi.org/10.1039/c9ra08349a (Original work published dec)
Yue-Ting Shao Ying-Jie Zhu Li-Ying Dong Qiang-Qiang ZhangCellulose Cellulose fiber Contact angle Contact angle Durability History Hydroxyapatite Hydroxyapatite (HAp) Intangible cultural heritages Nanocomposites Nanowires Natural Fibers Natural Fibers Paper Super-hydrophilic Textile Fibers Textile Fibers Textures United Nations Water contact angle Wetting Wetting behavior Wetting performance
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