2015/05/16 by Harry Commin, Commin, Harry
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #Face recognition and analysis #cs.CV
paper · pdf · doi:10.48550/arxiv.1505.04286
arxiv created 2015/05/16 · openalex publication_date 2015/05/16 · arxiv updated 2015/05/19 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28
In this paper, we explore methods of robustly extracting fiducial facial feature points - an important process for numerous facial image processing tasks. We consider various methods to first detect face, then facial features and finally salient facial feature points. Colour-based models are analysed and their overall unsuitability for this task is summarised. The bulk of the report is then dedicated to proposing a learning-based method centred on the Viola-Jones algorithm. The specific difficulties and considerations relating to feature point detection are laid out in this context and a novel approach is established to address these issues. On a sequence of clear and unobstructed face images, our proposed system achieves average detection rates of over 90%. Then, using a more varied sample dataset, we identify some possible areas for future development of our system.