no code implementations • 22 Jan 2020 • Sara Shahsavarani, Morteza Analoui, Reza Shoja Ghiass
Despite significant advances in Deep Face Recognition (DFR) systems, introducing new DFRs under specific constraints such as varying pose still remains a big challenge.
no code implementations • 5 Apr 2016 • Reza Shoja Ghiass, Ognjen Arandjelovic
The method we propose starts by performing accurate head pose estimation achieved by fitting a person specific morphable model of the face to depth data.
no code implementations • 28 Jul 2014 • Reza Shoja Ghiass, Ognjen Arandjelovic, Hakim Bendada, Xavier Maldague
The reduction of the cost of infrared (IR) cameras in recent years has made IR imaging a highly viable modality for face recognition in practice.
no code implementations • 29 Jan 2014 • Reza Shoja Ghiass, Ognjen Arandjelovic, Hakim Bendada, Xavier Maldague
Automatic face recognition is an area with immense practical potential which includes a wide range of commercial and law enforcement applications.
no code implementations • 7 Jun 2013 • Reza Shoja Ghiass, Ognjen Arandjelovic, Hakim Bendada, Xavier Maldague
To overcome the problem of thermal IR image sensitivity to the pattern of facial temperature emissions we describe a representation based on reliable anatomical features.
no code implementations • 7 Jun 2013 • Reza Shoja Ghiass, Ognjen Arandjelovic, Hakim Bendada, Xavier Maldague
Over the course of the last decade, infrared (IR) and particularly thermal IR imaging based face recognition has emerged as a promising complement to conventional, visible spectrum based approaches which continue to struggle when applied in practice.
no code implementations • 7 Jun 2013 • Reza Shoja Ghiass, Ognjen Arandjelovic, Hakim Bendada, Xavier Maldague
Automatic face recognition (AFR) is an area with immense practical potential which includes a wide range of commercial and law enforcement applications, and it continues to be one of the most active research areas of computer vision.