Comparative Analysis of Face Detection Algorithms: Novice to Novel

摘要

Face detection is a crucial task in multistage computer vision systems. This paper establishes an effort to summarize the face detection algorithms published in the field. Survey and review papers are always very helpful for both new and experienced researchers equally. Such surveys enable new researchers to dive deeply into the field and grasp gist of algorithms, while experienced researchers can easily track advancements in a specific area. Therefore, survey papers have an important role of contribution in the field. This article points out and summarizes the algorithms in which feature extraction techniques and back end machine learning classifiers have been investigated. The algorithms are compared quantitatively and qualitatively.