Pixel-Level Face Image Quality Assessment for Explainable Face Recognition

Understand

An essential factor to achieve high performance in face recognition systems is the quality of its samples.

• Since these systems are involved in daily life there is a strong need of making face recognition processes understandable for humans.
• In this work, we introduce the concept of pixel-level face image quality that determines the utility of pixels in a face image for recognition.
• We propose a training-free approach to assess the pixel-level qualities of a face image given an arbitrary face recognition network.