Hasan, MK, Ahsan, MS, Mamun, AA, Shah Newaz, SH and Lee, GM (2021) Human face detection techniques: A comprehensive review and future research directions. Electonics, 10 (19). ISSN 2079-9292

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Abstract

Face detection which is an effortless task for humans are complex to perform on machines. Recent veer proliferation of computational resources are paving the way for a frantic advancement of face detection technology. Many astutely developed algorithms have been proposed to detect faces. However, there is a little heed paid in making a comprehensive survey of the available algorithms. This paper aims at providing fourfold discussions on face detection algorithms. At first, we explore a wide variety of available face detection algorithms in five steps including history, working procedure, advantages, limitations, and use in other fields alongside face detection. Secondly, we include a comparative evaluation among different algorithms in each single method. Thirdly, we provide detailed comparisons among the algorithms epitomized to have an all inclusive outlook. Lastly, we conclude this study with several promising research directions to pursue. Earlier survey papers on face detection algorithms are limited to just technical details and popularly used algorithms. In our study, however, we cover detailed technical explanations of face detection algorithms and various recent sub-branches of neural network. We present detailed comparisons among the algorithms in all-inclusive and also under sub-branches. We provide strengths and limitations of these algorithms and a novel literature survey including their use besides face detection.

Item Type:	Article
Uncontrolled Keywords:	0906 Electrical and Electronic Engineering
Subjects:	Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Computer Science & Mathematics
Publisher:	MDPI
Date Deposited:	17 Sep 2021 08:40
Last Modified:	14 Jan 2022 16:15
DOI or ID number:	10.3390/electronics10192354
URI:	https://researchonline.ljmu.ac.uk/id/eprint/15499

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