Advancements in Face Detection Technology: Artistic and Functional Implications in Photography, Journalism, and Media
Year: 2025
Type: article
Abstract: Face detection technology identifies and locates the position of human or animal faces within digital images, often by analyzing specific facial features and patterns. It has revolutionized many fields, most significantly photography, journalism and media. It plays a pivotal role in tasks such as tagging and auto focusing. This technology, which includes not only human and animal face detection but also wink detection, enhances both technical accuracy and innovative expression in the visual arts. Face detection technology enables photographers to capture moments with greater precision and emotional depth, improving the realism of graphics and increasing creative possibilities. In journalism and media, this technology streamlines photo optimisation and sorting to improve overall organisational performance and content enrichment. Automated tagging and categorisation facilitate faster information production and richer, more authentic assessment, important for investigative journalism. This paper demonstrates that face detection has been useful in the creation of new technology and has opened up opportunities. In this study, advancements in human and animal face detection, as well as wink detection, are addressed. The artistic and functional implications of facial recognition technology in photography, journalism, and media are presented. Keywords: Face detection, photography, journalism, media, technology
Author: Baybars Sağlamtimur
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6930765211
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