Face Recognition and Its Applications

The human face brings with its appearance and shape a number of clues enabling the extraction of information about person identity, gender, age, ethnicity, health, emotional state and physical wellness, to name but a few. Face recognition has a critical role in biometric systems and is attractive for numerous applications including visual surveillance and security, medical imaging, and affective computing. Though there has been a great deal of progress in face detection and recognition in the last few years, many problems remain unsolved. Research on face detection must confront with many challenging problems, especially when dealing with outdoor illumination, pose variation with large rotation angles, low image quality, low resolution, occlusion, and background changes in complex real-life scenes. Before one claims that the facial image processing/analysis system is reliable, rigorous testing and verification on real-world datasets must be performed, including databases for face analysis and tracking in digital video. Thus, vigorous research is needed to solve such outstanding challenging problems and propose advanced solutions and systems for emerging applications of facial image processing and analysis.

Topics of interest include, but are not limited to, the following:

• Face and feature detection
• Pre-processing methods
• New sensors or data sources
• Data set and evaluation
• Machine learning and deep learning
• Applications of face recognition

Prof. Dr. Abdelmalik Taleb-Ahmed
Prof. Dr. Abdeldjalil Ouahabi
Guest Editors

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