Paper Info
Title
Facial Profiles Recognition Using Comparative Facial Soft Biometrics.
Abstract
This study extends previous advances in soft biometrics and describes to what extent soft biometrics can be used for facial profile recognition. The purpose of this research is to explore human recognition based on facial profiles in a comparative setting based on soft biometrics. Moreover, in this work, we describe and use a ranking system to determine the recognition rate. The Elo rating system is employed to rank subjects by using their face profiles in a comparative setting. The crucial features responsible for providing useful information describing facial profiles have been identified by using relative methods. Experiments based on a subset of the XM2VTSDB database demonstrate a 96% for recognition rate using 33 features over 50 subjects.
Year
Venue
Keywords
2020
2020 International Conference of the Biometrics Special Interest Group (BIOSIG)
Comparative Soft Biometrics,Profile Face Recognition,Profile Facial Attributes,Ranking
DocType
ISBN
Citations 
Conference
978-3-88579-700-5
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Malak Alamri100.34
Sasan Mahmoodi29417.37