Improving face verification using facial marks and deep CNN: IARPA Janus benchmark-A

摘要

•Face verification with soft biometric based matching approach•Unconstrained dataset with larger variations collected from 500 subjects•Evaluations on FERET, CFM, Mugshot, and IJB-A datasets•Performance improvement with Facial mark and VGG-face based fusion matchingSidra Riaz received her BS degree in Telecom Engineering from NUCES-FAST in 2011. She received her MS and PhD degrees in Computer Engineering from Chosun University in 2013 and Sogang University in 2020, respectively. She is currently working as an AI developer in BluePrint Company, Korea. Ms. Sidra Riaz is the recipient of National ICT R&D Merit Scholarship, Global IT Scholarship, and Seoul Honorary Citizenship Awards. Her research interests include deep learning, computer vision, and pattern recognition.Unsang Park received the BS and MS degrees from the Department of Materials Engineering, Hanyang University, South Korea, in 1998 and 2000, respectively. He received the MS and Ph.D. degrees from the Department of Computer Science and Engineering, Michigan State University, in 2004 and 2009, respectively. From 2012, he is an assistant professor in the Department of Computer Science and Engineering at Sogang University. His research interests include pattern recognition, image processing, computer vision, and machine learning.Prem Natarajan is Michael Keston Executive Director of ISI, a vice dean of the USC Viterbi School of Engineering and a professor of computer science. At ISI, he leads managerial and technical directions Institute-wide, including research, development and the MOSIS electronic chip brokerage. He also heads teams in his areas of expertise: novel approaches to face, character, handwriting and speech recognition, along with other deep learning and natural language processing directions.