Guillaume Heusch

Short Biography

I hold a MSc. in Communication Systems and a Ph.D. in Electrical Engineering, both from EPFL in 2005 and 2010 respectively. As a PhD student, I was performing research in Face Recognition, already at Idiap Research Institute. During that time, I also spent 6 months at Siemens Corporate Research, Princeton, where I worked on medical image analysis. After having graduated, I moved to the Netherlands and worked as a R&D engineer at ViNotion, a small company providing custom solutions for video surveillance applications. In 2011, I joined SICPA Security Solutions, where I was in charge of research projects involving image processing, computer vision and machine learning. Now I'm back at Idiap as a scientific collaborator, working on biometrics. My research interests are computer vision, machine learning and, on a broader perspective, the extraction of meaningful information from raw data. 


  • A novel statistical generative model dedicated to face recognition, Guillaume Heusch and Sébastien Marcel, Image & Vision Computing, 28(1), 2010 (pdf)
  • Bayesian Networks to Combine Intensity and Color Information in Face Recognition, Guillaume Heusch and Sébastien Marcel, International Conference on Biometrics, 2009 (pdf)
  • Face Authentication with Salient Local Features and Static Bayesian Network, Guillaume Heusch and Sébastien Marcel, International Conference on Biometrics, 2007 (pdf)
  • On combination of face authentication experts by a mixture of quality dependent fusion classifiers, Norman Poh, Guillaume Heusch, Josef Kittler, Multiple Classifier Systems, 2007 (pdf)
  • On the Recent Use of Local Binary Patterns for Face Authentication, Sébastien Marcel, Yann Rodriguez and Guillaume Heusch, International Journal on Image and Video Processing Special Issue on Facial Image Processing, 2007, (pdf)
  • Local Binary Patterns as an Image Preprocessing for Face Authentication, Guillaume Heusch, Yann Rodriguez and Sébastien Marcel, IEEE Intl Conf. on Automatic Face and Gesture Recognition, 2006 (pdf)



Tel: +41 27 721 7746
Office: 207.1-6