Face recognition and analysis

Face recognition and analysis is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 27k research works in it since 1954. 9.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on various techniques for face recognition and analysis, including deep learning approaches, facial landmark detection, age estimation, 3D face reconstruction, facial expression analysis, and pose estimation. The papers cover topics such as metric learning, feature learning, and the application of convolutional neural networks to address challenges in face recognition.

• Face Recognition
• Facial Landmark Detection
• Deep Learning
• Age Estimation
• 3D Face Reconstruction
• Facial Expression Analysis
• Pose Estimation
• Feature Learning
• Metric Learning
• Convolutional Neural Networks