[visionlist] PhD studentship: Multispectral imaging using an RGB colour camera

[Michal Mackiewicz (CMP)]

Fully Funded Studentship: Multispectral Imaging Using an RGB Colour Camera

School: School of Computing Sciences, University of East Anglia, Norwich, United Kingdom

Supervisors: Professor Graham Finlayson<http://www.uea.ac.uk/cmp/People/Faculty/Graham+Finlayson> Dr Michal Mackiewicz

Project Description:

Spectral estimation methods attempt to account for the interaction of light, sensor and surface in forming an RGB colour image, and to provide algorithms for inverting image formation: recovering spectral quantities from the camera RGBs. Solving this inverse problem very hard, yet understanding the spectra that drive image formation is very important in many applications including photography [1,2], computer vision [3,4] (and visual inspection [5]), forensic imaging] and medical applications. The "Rank based Spectral Estimation" project at the University of East Anglia (and in collaboration with 3 academic and 4 industrial partners) aims to develop robust algorithms for estimating spectra using images of scenes taken with a normal colour camera when a specially designed reference target placed in the scene. The PhD research, which will run alongside this project, will investigate spectral recovery methods for the special case where a transmissive (coloured filter array) target is used. The proposed programme of research will encompass algorithm design, colour measurement (at the National Physical laboratory) and colour psychophysics (in collaboration with Professor Andrew Stockman at UCL). This PhD research will take place in the context of the UEA colour group. This group currently comprises two post-doctoral research students and 5 PhD students. Over the last 10 years, the colour group has graduated 13 PhD students who have gone on to work in universities (e.g. University of Southern California, EPFL (Switzerland) and the University of Trondheim in Norway) and in companies (including, Apple, Hewlett-Packard, Canon and Foveon).

References:
[1] Peercy, M. (1993). Linear color representations for full speed spectral rendering. SIGGRAPH, 191-198.

[2] Di Carlo, J. et al (2004). Emissive Chart for Imager Calibration. 12th Color Imaging Conference, 295-301

[3] Gehler, P. et a;, (2008). Bayesian color constancy revisited. IEEE CVPR, 1-8.

[4] Morovic, P.M. and Finlayson, G.D. (2006). Metamer-set based approach to estimating surface reflectance from camera RGB. J. Opt. Soc. Am. A., 1814-1822

[5] M.S. Kim, Y.R. Chen and P.M. Mehl (2001) , Hyperspectral reflectance and fluorescence imaging system for food quality and safety. Trans. ASAE 44 3, 721-729.

Funding:
Directly Funded Project (UK Students Only)

Directly Funded Project (European Students Only)

Source of Funding: Funding is available for UK/EU students. Funding awarded for this project will cover tuition fees and stipend for UK students. EU students may be eligible for full funding, or tuition fees only, depending on the funding source. International students will not be eligible for this funding however they are still welcome to apply for the project but would have to find alternative funding.
Application Deadline: 31st May 2012
Research Themes: Graphics, Speech and Vision

Acceptable First Degree: Computer Science, Physics, Maths, Psychology or other numerate disciplines

Apply here: http://ueasciweb.uea.ac.uk/Resproject/show.aspx?ID=199
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