A Comprehensive Survey on Face Detection Techniques

Author:

Razzaq Ali Nadhim,Ghazali Rozaida,El Abbadi Nidhal Khdhair,Dosh Mohammad

Abstract

The need for automatic understanding and examination of data increased with the tremendous growth of video and imaging databases. The change of identity, feelings and attitudes of a person's face always play a key role in terms of social communication. It is difficult for human beings to distinguish and identify various faces. Hence, we can say that in face recognition, the automatic computer-aided face detection system plays an important role. It also plays a significant role in determining the facial expressions and their recognition, estimation of head pose and interaction of humans and computers, etc. The size and location of the human face in a digital image are determined by face detection. For face detection in digital images, this paper brings forward a detailed and comprehensive survey of various important techniques. In this paper, different challenges and applications regarding face detection are also discussed. The standard databases for the detection of the face are mentioned along with various other features. Along with this, special discussions are provided regarding highly practical aspects for the robustness of the system for face detection. In the end, there ¬are some highly promising directions for the research and investigation to be conducted in the future.

Publisher

NeuroQuantology Journal

Subject

Information Systems and Management,Library and Information Sciences,Human-Computer Interaction,Software

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Machine Learning in Mechatronics and Robotics and Its Application in Face-Related Projects;Artificial Intelligence in Mechatronics and Civil Engineering;2023

2. Face Detection and Tracking Using Raspberry Pi based on Haar Cascade Classifier;2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC);2022-11-19

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