SM Safayet Hossain
Will present a talk entitled:
Face-Aware Capture and Real-time Face Image Quality Assessment for Resource Constraint Mobile-Processors.
CAMP 194
Friday April 15, 2022
4pm
Abstract: The performance of face analysis and recognition systems largely depends on the quality of the acquired face data. Low-quality face images are often provided for passport application or renewal, which could be very difficult to use for later identification. After being captured in a kiosk of the post office or other dedicated facility, a face image could be digitally tampered with or stolen. Such facial biometric artifacts subvert the face recognition system from assigning the correct identity to a face and further compounds the recognition procedures’ complexity. Hence, it is necessary to embed “Intelligence” to the “Face Image Capture Hardware” to perform real-time face quality assessment, select the best images, verify the legitimacy of a presented image, detect presentation attack, embed a digital signature at the time of capture, etc. Responding to these needs, we are working to develop an open-source face-aware capture system with real-time Face Image Quality Assessment (FIQA) capabilities. Our open-source software will be released so that an individual can self-install the system in his facility upon purchase of a Jetson processor and COTS camera.
Bio: SM Safayet Hossain is currently working at the SHBREC (Smart Health, Biometric, and Rehabilitation with Embedded Computing) Laboratory at Clarkson University under the supervision of Dr. Masudul Imtiaz. Safayet is pursuing an MS degree in Electrical and Computer Engineering. His research interest includes computer vision, embedded system, biometrics, and deep learning.
Also on zoom:
https://clarkson.zoom.us/j/97752911589?pwd=RFF0eTc0bzZ4V2t6anJ5OXBjMThGQT09
Meeting ID: 977 5291 1589
Passcode: 933007
One tap mobile
+16468769923,,97752911589# US (New York)
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*Co-Sponsored by IEEE student branch and HKN
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Electrical and Computer Engineering l CLARKSON UNIVERSITY l Potsdam, New York 13699-5720