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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 13, ISSUE 4, APRIL 2024

Optimizing Viola-Jones for Advanced Face Detection:A Comprehensive Study

U SHIV KUMAR, SK.MOHAMMAD KAIF, K SIVA NAGASAI AJAY, SMRITILEKHA DAS, T GNANASRI ADILAKSHMI

DOI: 10.17148/IJARCCE.2024.13446

Abstract: In recent years, significant progress has been made   towards human-like machine comprehension. However, it's crucial to be aware that teaching a computer to think like a person is a very challenging undertaking. Automation and how we interact with computers are becoming more fun as computer vision technology advances. The Viola Jones approach, which makes it easier to recognise persons in photos, is discussed in this research. No matter the illumination, we have the computer set up to perform this task automatically. In experiments, they studied the Viola-Jones Cascade Object Detector. In order to identify particular facial features, this detector employs a variety of filters and traits.

Keywords: SURF, Feature Detection, Face Recognition, Face Detection, Viola-Jones algorithm.

How to Cite:

[1] U SHIV KUMAR, SK.MOHAMMAD KAIF, K SIVA NAGASAI AJAY, SMRITILEKHA DAS, T GNANASRI ADILAKSHMI, “Optimizing Viola-Jones for Advanced Face Detection:A Comprehensive Study,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2024.13446