Depending upon the dynamic nature of the face, studies have led to application of multiple face detection ML approaches such as Viola Jones algorithm, Kohonen approach, Local Binary Pattern Histogram (LBPH), Eigenfaces, Karhunen-Loeve detector.
Evolution: Machine learning approaches for face detection & recognitionįace detection is considered a part of the computer vision domain with relation to AI or Artificial Intelligence. Whether it is about face detection in surveillance, mapping images for medical diagnosis, or deep analysis of human faces in videos for intelligence purposes, ML models apply for both detection and recognition purposes. Face detection is a wider aspect than face recognition and is applied with the help of machine learning. To begin with, both face detection and recognition are co-related yet colloquially different. Face Detection & Recognition: How Machine Learning Approaches and Algorithms make it possible?Īmong other tasks made possible through machine learning algorithms, face detection and recognition is a crucial computer vision task.
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