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Face detection techniques: a review

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Abstract

With the marvelous increase in video and image database there is an incredible need of automatic understanding and examination of information by the intelligent systems as manually it is getting to be plainly distant. Face plays a major role in social intercourse for conveying identity and feelings of a person. Human beings have not tremendous ability to identify different faces than machines. So, automatic face detection system plays an important role in face recognition, facial expression recognition, head-pose estimation, human–computer interaction etc. Face detection is a computer technology that determines the location and size of a human face in a digital image. Face detection has been a standout amongst topics in the computer vision literature. This paper presents a comprehensive survey of various techniques explored for face detection in digital images. Different challenges and applications of face detection are also presented in this paper. At the end, different standard databases for face detection are also given with their features. Furthermore, we organize special discussions on the practical aspects towards the development of a robust face detection system and conclude this paper with several promising directions for future research.

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Authors and Affiliations

  1. Department of Computer Science, Punjabi University, Patiala, Punjab, India

    Ashu Kumar

  2. Centre of Computer Science and Technology, Central University of Punjab, Bathinda, Punjab, India

    Amandeep Kaur

  3. Department of Computational Sciences, Maharaja Ranjit Singh Punjab Technical University, Bathinda, Punjab, India

    Munish Kumar

Authors
  1. Ashu Kumar
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  2. Amandeep Kaur
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  3. Munish Kumar
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Correspondence to Munish Kumar.

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Kumar, A., Kaur, A. & Kumar, M. Face detection techniques: a review. Artif Intell Rev 52, 927–948 (2019). https://doi.org/10.1007/s10462-018-9650-2

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