Deep texture-depth-based attention for face recognition on IoT devices

• Main Authors: Lin, Yuxin, Liu, Wenye, Chang, Chip Hong
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2024
• Subjects: Engineering; Face recognition; Local binary pattern
• Online Access: https://hdl.handle.net/10356/174142
• Institution: Nanyang Technological University

Traditional face recognition systems use RGB images as input for feature extraction and classification. However, conventional methods based on color images experience non-trivial accuracy drop under several challenging conditions like occlusion, pose variation and facial expression changes. With the...