Basic Study on Facial Expression Recognition Model Adaptable along Time-axis
Masaki Ishii, Takashi Yamaya, Yoichi Kageyama, Tsuyoshi Takahahsi, Makoto Nishida · The Abstracts of the international conference on advanced mechatronics toward evolutionary fusion of IT and mechatronics ICAM · 2015
For a facial expression recognition model to retain its high robustness continuously along the time axis over a long period of time, the classifier created during the initial stage should evolve and gradually become adaptive over time. We propose a method for creating a facial expression recognition model that can offer such an adaptive learning capability.