Robust local representation for face recognition with single sample per person

Keyphrases

• Face Recognition 100%
• Single Sample per Person 100%
• Facial Regions 80%
• State-of-the-art Techniques 20%
• Low Weight 20%
• Weight Value 20%
• Training Set 20%
• Full Use 20%
• Robust Features 20%
• Representation Method 20%
• Region Feature 20%
• Dense Sampling 20%
• AR Database 20%
• Dense Features 20%
• Sparse Representation Classifier 20%
• Representation Model 20%
• High Detection Rate 20%
• Representation-based Classification 20%
• Collaborative Representation 20%
• LFW Dataset 20%
• Facial Variation 20%

Engineering

• Sampling Point 100%
• Experimental Result 100%
• State-of-the-Art Method 100%

Computer Science

• Point Sampling 20%