OFFER DEADLINE01/09/2018 12:30 - Europe/Brussels
EU RESEARCH FRAMEWORK PROGRAMMEH2020 / Marie Skłodowska-Curie Actions
ORGANISATION/COMPANYInternational Project Office
DEPARTMENTPromotion & Advisory Unit
Professor Juan Luis Nieves, from the Department of Optics at the University of Granada, welcomes postdoctoral candidates interested in applying for a Marie Skłodowska-Curie Individual Fellowships (MSCA-IF) in this university. Applicants must comply with the Mobility Rule (more information in the participant guide: http://sl.ugr.es/097k).
The Color Imaging Lab (http://colorimaginglab.ugr.es ) is a research group that belongs to the Optics Department at the University of Granada (ranked among the best 400 universities in the world and the second in Spain, according to the Shanghai ranking 2016).
In this department we have carried out research into both classical Colorimetry (e.g. colour differences) and Colour Vision (e.g. chromatic discrimination) since the beginning of the 1970s. In the 1990s we became interested in both human and computational colour constancy. From its origin in 2000 the Colour Imaging Lab has focused on the spectrum based colour research and novel methods for spectral data analysis and measurement. Our current research topics are: spectral imaging, spectral estimation algorithms, high dynamic range imaging, de-weathering algorithms, polarimetric & spectral imaging, computational colour vision, visual saliency, and natural image statistics.
In the research group we have four senior permanent staff and several Ph.D. and Post-doc students. Our laboratory is well-equipped for spectral colour research with several spectral cameras and spectrometers as well as eye-trackers and a thermal camera. Our university has also the facility to use colour and spectral cameras on drones.
Our group is a consortium member of the Erasmus Mundus CIMET and Erasmus+ COSI-master programmes. We are very active in international collaboration (i.e. half of our papers have international co-authorship), and have project funding from the University of Granada, the Regional Government of Andalucia, the Spanish Government and other industrial partners.
Automatic identification of salient information from annotated multispectral images (in the visible/NIR and thermal spectral range) in urban ways
In Computational Vision it is common to study and analyse colour image (or video) processing using previous knowledge about the way the Human Visual System tackles this task. Nevertheless multispectral imaging within the visible/NIR region can also offers great advantages for object recognition applications, and does not require special pre-processing or additional interaction with other systems working in parallel. This research project proposal is focused on the use of multispectral imaging techniques for relevant object recognition in urban environments, including situations in which there is poor visibility due to adverse atmospheric conditions or significant illumination changes. At the first stage of the project the main challenge is the acquisition of a multispectral image database in which all the relevant information for security cameras and security monitoring is annotated and identified (traffic signs, pedestrians, relevant objects/persons around buildings, etc.). This database will include images in poor visibility conditions in the visible/NIR and Medium Infrared (MIWR, also known as thermal) ranges. To extract the relevant information, first a manual annotation tool will be used (e.g. the open annotation tool LabelMe) in the visible/NIR range, and next an algorithm for the automatic annotation of the relevant information contained in the database images should be implemented. Registration and fusion steps of the images are needed considering the different sensors used and different information contained in all separate spectral images. This will have a very positive impact on the market for video surveillance technology by developing active intelligent systems with features like identification of suspicious objects or movements, counting of vehicles or people or fire and smoke detection.
- Information Science and Engineering (ENG)
- Physics (PHY)
For a correct evaluation of your candidature, please send the documents below to Professor (firstname.lastname@example.org ):
- Letter of recommendation (optional)