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GraFIQs: Face Image Quality Assessment Using Gradient Magnitudes
April 19, 2024, 4:45 a.m. | Jan Niklas Kolf, Naser Damer, Fadi Boutros
cs.CV updates on arXiv.org arxiv.org
Abstract: Face Image Quality Assessment (FIQA) estimates the utility of face images for automated face recognition (FR) systems. We propose in this work a novel approach to assess the quality of face images based on inspecting the required changes in the pre-trained FR model weights to minimize differences between testing samples and the distribution of the FR training dataset. To achieve that, we propose quantifying the discrepancy in Batch Normalization statistics (BNS), including mean and variance, …
abstract arxiv assessment automated cs.cv differences face face recognition gradient image images novel quality recognition systems type utility work
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