*Position 1 – Face recognition for forensics:*
This research will focus on the development of face recognition methods that are specific for the forensic domain on the one hand and on illumination and pose correction as preprocessing stages for forensic face recognition on the other.
*Position 2 – ROC calibration based on image quality:*
It is known that the receiver operating characteristic (ROC) of a biometric recognition system degrades under unfavorable conditions, e.g. due to noise or variations of illumination or pose.
This research will focus on quantifying the quality aspects of the images and on finding the relation between the degradation of the ROC and the quality scores.
For detail information please visit:
http://ut-iso.org/lowongan-s3/167/2-phd-positions-bayesian-biometrics-for-forensics-2fte
This research will focus on the development of face recognition methods that are specific for the forensic domain on the one hand and on illumination and pose correction as preprocessing stages for forensic face recognition on the other.
*Position 2 – ROC calibration based on image quality:*
It is known that the receiver operating characteristic (ROC) of a biometric recognition system degrades under unfavorable conditions, e.g. due to noise or variations of illumination or pose.
This research will focus on quantifying the quality aspects of the images and on finding the relation between the degradation of the ROC and the quality scores.
For detail information please visit:
http://ut-iso.org/lowongan-s3/167/2-phd-positions-bayesian-biometrics-for-forensics-2fte
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