Trends in Machine and Human Face Recognition

Mandal, Bappaditya; Lim, Rosary Yuting; Dai, Peilun; Sayed, Mona Ragab; Li, Liyuan; Lim, Joo Hwee

Abstract

Face recognition (FR) is a natural and intuitive way for human beings to identify or verify or at least get familiar and interact with other members of the community. Hence, human beings expect and endeavor to develop similar competency in machine recognition of human faces. Due to the rapid increase in computing power in recent decades and the need to automate the FR tasks for many applications, researchers from diverse areas like cognitive and computer sciences are making efforts in understanding how humans and machines recognize human faces respectively. Its application is innumerable (like access control, surveillance, social interactions, e-commerce, just to name a few). In this chapter we will review two aspects of FR: machine recognition of faces and how human beings recognize human faces. We will also discuss the recent benchmark studies, their protocols and databases for FR and psychophysical studies of FR abilities of human beings.

Citation

Mandal, B., Lim, R. Y., Dai, P., Sayed, M. R., Li, L., & Lim, J. H. (2016). Trends in Machine and Human Face Recognition. In Advances in Face Detection and Facial Image Analysis (145-187). Springer. https://doi.org/10.1007/978-3-319-25958-1_7

• Online Publication Date: Apr 2, 2016
• Publication Date: 2016
• Deposit Date: Nov 21, 2023
• Publisher: Springer
• Pages: 145-187
• Book Title: Advances in Face Detection and Facial Image Analysis
• Chapter Number: 7
• ISBN: 9783319259567; 9783319259581
• DOI: https://doi.org/10.1007/978-3-319-25958-1_7
• Publisher URL: https://link.springer.com/chapter/10.1007/978-3-319-25958-1_7