[visionlist] Postdoc position - Univ Bourgogne France
yannick.benezeth at gmail.com
Fri Jul 6 08:25:51 -05 2018
*Keys words: **R*eflectance estimation, Multiview, shading,
*Duration*: 12 months
*Start*: As soon as possible, applications will be reviewed when they
arrive until one candidate is selected
*Location*: Dijon France (Univ. Bourgogne Franche-Comté in the LE2I lab)
*Subject : *Estimating the shape and the reflectance of a scene is a key
issue in computer vision and it has many applications such as shape
recovery, specularity removal and facilitates classical image processing
and computer vision tasks such as segmentation or classification.
Unfortunately, the estimation of reflectance, lighting and the geometry
from RGB images is an underdetermined problem. One single image could have
been obtained by a large combination of illumination, shapes and
reflectance. Mathematically, there are much more unknowns than equations.
To overcome the underdetermination, some recent works have proposed to add
some constraints into the optimization process or to increase the amount of
data available, for example by combining multiple views of the scene. This
post-doc proposal is within this context and is applied to the field of
endoscopy. The main objective is to use multiple views of the same stomach
tissue to alleviate the underdetermination of the inversion problem and
estimate the reflectance of the tissue from RGB images.
The work will be carried out within the framework of the French ANR project
Emmie which focuses on multimodal endoscopy for the detection of
inflammatory lesions in the stomach.
Recently, we have proposed an optimization method to retrieve the
parameters of the dichromatic model from an RGB image using two independent
quadratic programming steps. Compared to the state of the art in this
domain, our approach has the advantage to transform a complex inverse
problem into two parallelizable optimization steps that are much easier to
solve and do not require a tedious learning step. Another research team
participating in the ANR Emmie project also proposed a method to obtain 2D
mosaics by registering the images of a video-sequence acquired during
endoscopic examinations. Therefore several views from the same region of
the stomach are available.
*Application: *The candidate is expected to have a PhD degree in a relevant
subject area (Image Processing, Applied Mathematics, Biomedical engineering
or Computer Science). Strong analytical/mathematical skills are essential
and good programming experience is preferable. It is expected that the
candidate has good communication skills, especially in written English. The
candidate must be committed to deliver excellence in research!
To apply, please email:
· a CV,
· a transcript of your MSc grades/marks (even if incomplete),
· the main paper you wrote during your PhD thesis
· at least one recommendation letter
· Yannick Benezeth - yannick.benezeth at u-bourgogne.fr
· Franck Marzani - franck.marzani at u-bourgogne.fr
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