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
Kong, A., Wang, X., & Tang, J. K. -T. Enhancing the Motivation of Young Learners in Intangible Cultural Heritage Education: A Creative Real-Time Finger Tracking System for Chinese Shadow Puppetry. 154-158. https://doi.org/10.1109/ICIET60671.2024.10542819
Anthony Kong Xue Wang Jeff TangChinese shadow puppeteering Creatives Cultural Heritage Education Digital devices Intangible cultural heritages Interaction design Learning motivation Learning systems Motivation Number of factors Palmprint recognition Real- time Shadow puppetries Tracking system