This book provides a systematic study of facial expression recognition technology for human-computer interaction, covering the complete processing pipeline from image preprocessing to expression classification. The research presented in this book, supported by the National Natural Science Foundation of China, offers a comprehensive framework for facial expression recognition, including a fractional-step color constancy algorithm for complex illumination conditions, multi-feature fusion strategies, and theoretical innovations with practical engineering applications.

This book will be a valuable reference for graduate students and advanced undergraduates studying computer vision and related subjects, as well as for researchers and engineers working in artificial intelligence, computer vision, affective computing, and human-computer interaction.