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

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

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...

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Bibliographic Details
Main Authors: Lin, Yuxin, Liu, Wenye, Chang, Chip Hong
Other Authors: School of Electrical and Electronic Engineering
Format: Conference Paper
Language:English
Published: 2024
Subjects:
Engineering
Face recognition
Local binary pattern
Online Access:https://hdl.handle.net/10356/174142

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