| Lijun Yin Xiaozhou Wei Yi Sun Jun Wang Matthew J. Rosato
This paper introduces a newly developed 3D facial expression database, which includes 2,500 models from 100 subjects, each performing seven universal emotional states with four levels of intensity. The database aims to address the limitations of traditional 2D-based analysis, which struggles with large pose variations and subtle facial movements. The 3D data captures both prototypical facial shapes and 2D textures, providing a comprehensive resource for algorithm assessment, comparison, and evaluation in affective computing and facial behavior research. The paper discusses the importance of 3D information in capturing the full complexity of facial expressions, including subtle in-depth skin motions and pose changes. The database is validated through subjective and objective evaluations, showing high recognition rates by both experts and machines. Future work will focus on extending the database to include dynamic expressions and more spontaneous facial behaviors, as well as exploring applications in medical and psychological research.This paper introduces a newly developed 3D facial expression database, which includes 2,500 models from 100 subjects, each performing seven universal emotional states with four levels of intensity. The database aims to address the limitations of traditional 2D-based analysis, which struggles with large pose variations and subtle facial movements. The 3D data captures both prototypical facial shapes and 2D textures, providing a comprehensive resource for algorithm assessment, comparison, and evaluation in affective computing and facial behavior research. The paper discusses the importance of 3D information in capturing the full complexity of facial expressions, including subtle in-depth skin motions and pose changes. The database is validated through subjective and objective evaluations, showing high recognition rates by both experts and machines. Future work will focus on extending the database to include dynamic expressions and more spontaneous facial behaviors, as well as exploring applications in medical and psychological research.