Analysis of face detection, face landmarking, and face recognition
performance with masked face images
- URL: http://arxiv.org/abs/2207.06478v1
- Date: Fri, 3 Jun 2022 15:16:58 GMT
- Title: Analysis of face detection, face landmarking, and face recognition
performance with masked face images
- Authors: O\v{z}bej Golob
- Abstract summary: The effect of wearing face masks is currently an understudied issue.
We found that the performance of face detection, face landmarking, and face recognition is negatively impacted by face masks.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Face recognition has become an essential task in our lives. However, the
current COVID-19 pandemic has led to the widespread use of face masks. The
effect of wearing face masks is currently an understudied issue. The aim of
this paper is to analyze face detection, face landmarking, and face recognition
performance with masked face images. HOG and CNN face detectors are used for
face detection in combination with 5-point and 68-point face landmark
predictors and VGG16 face recognition model is used for face recognition on
masked and unmasked images. We found that the performance of face detection,
face landmarking, and face recognition is negatively impacted by face masks
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