Date of Award
Santa Clara : Santa Clara University, 2020.
Computer Science and Engineering
While AI has come a long way in random facial generation, very limited research has been done on targeted generation. Initial impressions given by faces vary widely depending on the shape and proportions of the features. This project will design a program that manipulates a face shape according to given traits. By using preexisting research on the correlation between facial features and associated characteristics and impressions, the practical uses of facial generation increase many fold. This allows facial generation to be applied to marketing and design, as well as increasing the overall accessibility to any laypersons seeking such applications.
Shao, Angela, "The Character Jar: Trait-based Facial Feature Generation Software" (2020). Computer Science and Engineering Senior Theses. 185.