Lecture 4: Face Recognition
Mobile Biometrics
Instructor: Dr. Tempestt Neal (Come see me in ENB 310)
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Face Recognition
• Face is one of the most common biometric traits used by
human
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Face Recognition
• Face is one of the most common biometric traits used by
human
• Establishing an identity based on facial characteristics
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Face Recognition
• Face is one of the most common biometric traits used by
human
• Establishing an identity based on facial characteristics
• Challenges of automated face recognition
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Face Recognition
• Face is one of the most common biometric traits used by
human
• Establishing an identity based on facial characteristics
• Challenges of automated face recognition
• Intra-person variations like age, pose, illumination,
expressions, hair, accessories
• Inter-person similarities like Parents and children Siblings /
twins
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Why face?
• Suitable for non-contact sensors
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Why face?
• Suitable for non-contact sensors
• Emotion recognition and understanding
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Why face?
• Suitable for non-contact sensors
• Emotion recognition and understanding
• Large databases for research
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Why face?
• Suitable for non-contact sensors
• Emotion recognition and understanding
• Large databases for research
• High acceptability
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Why face?
• Suitable for non-contact sensors
• Emotion recognition and understanding
• Large databases for research
• High acceptability
• Front-facing device cameras for high-quality data collection
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What are the challenges?
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What are the challenges?
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What are the challenges?
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What are the challenges?
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Thank You
for your attention.
Let’s Discuss
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