Parade Town
The project investigates the history of parades as promotions of unrecognized communities and declarations of desired power. Using augmented reality and computer vision, the projects celebrate the seen/unseen activity and expressions of downtown Los Angeles.Taught students to create augmented reality lenses using custom computer vision models. Students used machine learning and data training as a visual anthropology study of the city. The course culminated in a public exhibition in downtown Los Angeles. Visitors used QR codes to launch individual student projects and trigger digital overlays that called attention to objects, scenes, or urban conditions selected by the student.
Designed 3D motion graphics and coded curtains to promote student exhibition and course Parade Town: A procession of augmented realities in DTLA. Motion graphics produced in Unity, a game development engine, to simulate the behavior of augmented reality, hiding and revealing the title of the exhibition.
Designed curtains with QR codes as a checkered textile pattern. Codes hosted augmented reality exhibition, launching individual AR projects during gallery pandemic closure.
Work by — Alan Amaya, Jeremy Yijie Chen, Shiyi Chen, Dunstan Christopher, Elizabeth Costa, Noah Curtis, Cha Gao, Jingwei Gu, Sean Jiaxing Guo, Kate Ladenheim, Miaoqiong Huang, Blake Shae Kos, Jeung Soo Lee, Hongming Li, Tingyi Li, Fuyao Liu, Guowei Lyu, Yiran Mao, Elaine Purnama, Mario Santanilla, Qi Tan, Lucas Thin, Zeyu Wang, Zhiyan Wang, Zoey Wang, Christie Wu, Yue Xi, Haoran Xu, Qianyue Yuwen, Fanxuan Zhu