Kingston University
Engineering, Computing & the Environment

Jean-Christophe Nebel


DNA

Genomics-inspired Computer Vision

Jump to: Current research students | Completed research students | Former visitors | Available datasets | Media | Publications


Completed research students


Ioannis Kazantzidis, PhD 2019
Genomics-inspired Computer Vision

Supervision Team: Dr Jean-Christophe Nebel (DoS), Dr Francisco Florez-Revuelta, Dr Natasha Hill


Former visitors


Romain Dieny, Visiting Master student, 2010
Stereo matching (ENSPS, France)
KU Sup. Team: J.-C. Nebel, J. Martinez del Rincon

Jerome Thevenon, Visiting Master student, 2010
Stereo matching (University Jean Monnet, Saint-Etienne, France)
Sup. Team: J.-C. Nebel

Ana Carolina dos-Santos-Paulino, Visiting Master student, 2013
Evolutionary algorithm for dense pixel matching (Telecom Physique Strasbourg, France)
Sup. Team: F. Florez-Revuelta, J.-C. Nebel

Mickael Dequidt, Visiting Master student, 2014
Foreground extraction (ENSICAEN, France)
Sup. Team: J.-C. Nebel


Available datasets


Distorded image Data used to evaluate quality of dense pixel matching algorithm on distorted images [PDF].

Media


Los ordenadores son vigilantes novatos; la genomica les enseña a ser mejores, by Jean-Christophe Nebel & Francisco Florez Revuelta
The Conversation Spain, October 30, 2018 23.35 CET (over 1,000 readers)

"La videovigilancia automatizada todavia no es fiable, pero las tecnicas de analisis genetico pueden ayudar". Our bioinformatics research is featured in this article.
Reconnaitre des visages dans une video en s’inspirant de l’analyse de l’ADN, by Jean-Christophe Nebel
The Conversation France, November 6, 2017 10.39pm GMT (over 2,500 readers)

"La videoprotection est censee assurer la securite du public. Mais comment traiter des sequences de plus en plus nombreuses ? En considérant les images animees comme des mutations genetiques…" Our research on 'Genomics-inspired Computer Vision' is featured in this article.
DNA techniques could transform facial recognition technology, by Jean-Christophe Nebel
The Conversation UK, October 20, 2017 2.36pm BST (over 24,000 readers)

"Treating video like a mutating gene could improve surveillance software." Our research on 'Genomics-inspired Computer Vision' is featured in this article.
This article was republished in Scientific American

Publications


Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.


j.nebel@kingston.ac.uk