Review of Machine Learning Methods for Human Face Recognition in Images
This work is copyrighted.
This is a class project for the course 'Introduction to Machine Learning and Data Mining' at UBC. We worked in a group of 2 people and wrote a short term paper (page limited).
Abstract is given below:
Facial recognition from images is a very interesting area of research and has useful applications in real-world scenarios. This paper presents a literature review of some of the most recognized works for facial recognition using machine learning techniques, starting from 1900s. These methods are summarized, analyzed, and discussed in detail. General research trends over the years and breakthrough contributions are given. In addition, some of the limitations in the current works are discussed and future research directions and areas with scope for improvement are suggested.
This is the link to the pdf.
Abstract is given below:
Facial recognition from images is a very interesting area of research and has useful applications in real-world scenarios. This paper presents a literature review of some of the most recognized works for facial recognition using machine learning techniques, starting from 1900s. These methods are summarized, analyzed, and discussed in detail. General research trends over the years and breakthrough contributions are given. In addition, some of the limitations in the current works are discussed and future research directions and areas with scope for improvement are suggested.
This is the link to the pdf.