Notional

dc.contributor.authorSoo, Chin-En Keith
dc.contributor.authorYu, Chunyang
dc.contributor.authorXu, Zhangqi
dc.contributor.editorSoddu, Celestino
dc.contributor.editorColabella, Enrica
dc.coverage.spatialRome, Italy.
dc.date.accessioned2025-06-19T04:47:55Z
dc.date.available2025-06-19T04:47:55Z
dc.date.issued2023
dc.description.abstractEveryone is unique, especially their face. Even twins have more or less different faces. Faces are the most critical way for people to remember each other in their daily lives, so a face can be regarded as a unique ID of a person. Notional aims to generate a unique pattern by collecting facial data of a person, such as face length and forehead width, to show that each person is unique. The final pattern can even be used as a form of identity in the context of the metaverse.
dc.identifier.citationSoo, K., Yu, C., & Xu, Z. (2023). Notional. In Soddu, C., & Colabella, E. (Eds.), GENERATIVE ART 2023 (pp. 313-320). Domus Argenia Publisher.
dc.identifier.isbn978-88-96610-45-9
dc.identifier.urihttps://hdl.handle.net/10289/17459
dc.language.isoen
dc.publisherDomus Argenia Publisher
dc.relation.isPartOfGENERATIVE ART 2023
dc.rightsThis is a paper presented at the 26th Annual International Conference, Generative Art Conference 2023. © GA2023.
dc.sourceGENERATIVE ART CONFERENCE 2023, XXVI Annual International Conference at the Borrominian Hall of Biblioteca Vallicelliana, Rome, Italy. GA2023 is organised by Generative Art and Design Lab, Argenia Association, Roma, Italy
dc.titleNotional
dc.typeConference Contribution
pubs.place-of-publicationRoma, Italy
pubs.publisher-urlhttps://www.artscience-ebookshop.com/ga2023_book.htm

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