Face Detection: Present State and Research Directions
It provides a survey of current methods and identifies gaps for researchers in computer vision, but it is incremental as it does not introduce new techniques.
This review paper addresses the ongoing challenges in face detection, highlighting that accuracy and speed still need improvement despite significant progress, and it outlines potential research directions for future projects.
The majority of computer vision applications that handle images featuring humans use face detection as a core component. Face detection still has issues, despite much research on the topic. Face detection's accuracy and speed might yet be increased. This review paper shows the progress made in this area as well as the substantial issues that still need to be tackled. The paper provides research directions that can be taken up as research projects in the field of face detection.