The european project ⇜versus+ / heritage for people⇝. Objectives and methodology. 54, 645-649. International Society for Photogrammetry and Remote Sensing. https://doi.org/10.5194/isprs-archives-XLIV-M-1-2020-645-2020
. Shi, Y., Ying, F., Chen, X., Pan, Z., & Yu, J. Restoration of traditional Chinese shadow play-Piying art from tangible interaction. 25, 33-43. https://doi.org/10.1002/cav.1530
Xue, C., & Cao, Y. Research on the application of 3D digital technology in the Pizhou Running Zhuma. 28-32. Association for Computing Machinery. https://doi.org/10.1145/3425329.3425394
Chiranthanut, C. Inherent wisdoms and the roles of sacred spaces in spatial organization of vernacular houses. 54, 19-23. International Society for Photogrammetry and Remote Sensing. https://doi.org/10.5194/isprs-archives-XLIV-M-1-2020-19-2020
Chien-Chung, C., & Chao-Ching, F. Globalization and localization of heritage preservation in Taiwan - an analysis perspective under the cultural heritage preservation act. 40-5, 65-72. International Society for Photogrammetry and Remote Sensing. https://doi.org/10.5194/isprsarchives-XL-5-W7-65-2015
Robinson, E. J. Documentation and monitoring of intangible cultural heritage a 21st century approach. 36. International Society for Photogrammetry and Remote Sensing. Retrieved de https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053616019&partnerID=40&md5=49d2a76287c887432a924effe5ddc8e6
Fukumori, T., Nishiura, T., & Yamashita, Y. Digital archive for Japanese intangible cultural heritage based on reproduction of high-fidelity sound field in Yamahoko parade of Gion festival. 549-554. https://doi.org/10.1109/SNPD.2012.105
Kovács, K. (2020). Beyond vernacular architecture. 54, 767-772. International Society for Photogrammetry and Remote Sensing. https://doi.org/10.5194/isprs-archives-XLIV-M-1-2020-767-2020
Cao, Y., & Zhou, Q. (2020). Art deco building data collection and protection of nanjing based on 3D digital modeling technology -taking the site of China \& south sea bank Ltd for example. 18-22. Association for Computing Machinery. https://doi.org/10.1145/3425329.3425396