Face Recognition by Humans : Nineteen Results All Computer Vision Researchers Should Know About Increased knowledge about the ways people recognize each other may help to guide efforts to develop practical automatic face - recognition systems

Abstract

| A key goal of computer vision researchers is to create automated face recognition systems that can equal, and eventually surpass, human performance. To this end, it is imperative that computational researchers know of the key findings from experimental studies of face recognition by humans. These findings provide insights into the nature of cues that the… (More)

Topics

18 Figures and Tables

Cite this paper

@inproceedings{Sinha2015FaceRB, title={Face Recognition by Humans : Nineteen Results All Computer Vision Researchers Should Know About Increased knowledge about the ways people recognize each other may help to guide efforts to develop practical automatic face - recognition systems}, author={Pawan Sinha and Benjamin J. Balas and Yuri Ostrovsky and Richard Russell}, year={2015} }