Face Quality Assessement
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An Efficient Method for Face Quality Assessment on the Edge
Face recognition applications in practice are composed of two main steps: face detection and feature extraction. In a sole vision-based solution, the first step generates multiple detection for a single identity by inges…
Face DetectionFace Quality AssessementFace RecognitionregressionCR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability
The quality of face images significantly influences the performance of underlying face recognition algorithms. Face image quality assessment (FIQA) estimates the utility of the captured image in achieving reliable and ac…
Face Image QualityFace Image Quality AssessmentFace Quality AssessementFace Recognition+1MagFace: A Universal Representation for Face Recognition and Quality Assessment
The performance of face recognition system degrades when the variability of the acquired faces increases. Prior work alleviates this issue by either monitoring the face quality in pre-processing or predicting the data un…
ClusteringFace Quality AssessementFace RecognitionFace VerificationSER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness
Face image quality is an important factor to enable high performance face recognition systems. Face quality assessment aims at estimating the suitability of a face image for recognition. Previous work proposed supervised…
Face Image QualityFace ModelFace Quality AssessementFace Recognition+3