The Application and Performance of Face Recognition in Complex Scenarios
TL;DR
This paper mainly explores the application and performance of FR in complex scenarios such as occlusion, multi-person scenes, and uncontrolled environments and aims to solve the problem of poor performance of FR in complex scenarios.
Abstract
: Face recognition (FR) is a popular technology in the field of artificial intelligence and is a biometric technology based on facial features. However, in actual situations, images often have some uncontrollable factors, which can lead to a decline in image quality. Therefore, this paper mainly explores the application and performance of FR in complex scenarios such as occlusion, multi-person scenes, and uncontrolled environments. Among them, FR under occlusion discusses two types of recognition methods: occlusion aware face recognition (OAFR) and occlusion recovery based face recognition (ORecFR); FR in multi-person scenarios discusses the recognition of a single target object and group-level emotion recognition (GER); FR in uncontrolled environments discusses recognition under different lighting and makeup conditions. It aims to solve the problem of poor performance of FR in complex scenarios. Finally, the challenges faced by FR in this field and its prospects for the future were pointed out.