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A Novel Face Features Extraction and Neural Network Based Face Quality Assessment Technique
2017
International Journal of Signal Processing, Image Processing and Pattern Recognition
Face quality assessment has evolved as eminent research area because of its significance in the task of face detection and recognition in unconstrained images from surveillance videos. It is a critical step particularly in low resolution surveillance cameras based systems in which it is important to discard the poor quality faces and select the faces having quality above a minimum acceptable threshold level so as to improve the performance of overall system. In this work, we have developed a
doi:10.14257/ijsip.2017.10.3.08
fatcat:4jomhppq6jclxf36j3sdd2kq74