Rank-Based spectral estimation

Projekt som har til formål at finde nye metoder til at estimere individuelle spektrale tap-funktioner på basis af farvematchningsfunktioner.

Resumé
Et 4-årigt forsknings-, udviklings- og testprojekt, der indbefatter en phd-studerende og en post doc på University of East Anglia, England. C.F. Andersen er inviteret som forsker sammen med forskere fra London Univ. Coll. og National Physical Laboratory, England.

I 2011 blev projektet EPSRC (Engineering and Physical Sciences Research Council) godkendt (rated excellent) og de studerende starter i august 2012 og afsluttes i 2015.

Projektet indeholder flere elementer som er direkte relaterede til CFA’s phd, herunder de nye metoder til at estimere individuelle spektrale tap-funktioner på basis af farvematchningsfunktioner.

Indhold (original engelsk version):
The project, Rank-Based Spectral Estimation, aims to deliver a step change in our ability to recover spectral quantities from camera measurements when it is difficult to carry out lab-based measurement and calibration.

The key to achieving this is the observation that linear spectral quantities can be recovered from non linear responses so long as their rank ordering is preserved. This multidisciplinary project linking computer vision, imaging, and human vision also brings together important industry players.

Not only will this collaboration ensure the widest application and impact for this work, but it will also give the project post.doc (and UEA funded PhD student) unrivalled training opportunities.

Projektperiode
2011-2015

Deltagere

  • Dr. Casper Find Andersen, Danmarks Medie- og Journalisthøjskole
  • Professor Graham David Finlayson, UEA, UK,
  • Professor Andrew Stockmann, UCL, UK,
  • Prinicap Research Scientist Teresa Goodman, NPL, UK,
  • Martin Brynskov Aarhus Universitet

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