معرفی
Chi Ho Chan is a Research Fellow at the University of Surrey's Centre for Vision, Speech and Signal Processing (CVSSP). His work focuses on biometrics, computer vision, and pattern recognition with emphasis on face recognition, 3D morphable models, and illumination-invariant systems. He has contributed to developing robust facial recognition techniques under varying lighting conditions and resolutions, as well as speaker authentication using lip dynamics.
Research interests include:
- 3D face reconstruction and pose/illumination normalization
- Deep learning for cross-resolution face recognition
- Biometric performance analysis over time
- Kernel fusion of visual descriptors
- Optimization of 3D morphable models for low-resolution images
Key publications explore resolution-aware 3D models (2012), NPT-loss for face recognition (2022), and adaptive biometric systems (2015). His work bridges theoretical computer vision with practical applications in surveillance and authentication systems.
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