Objective
The goal of the proposed research project is the development of a robust image enhancing tool, which will significantly improve underwater imagery for construction of high-resolution ocean-floor photo-mosaics. Image degradation issues due to strong light scattering present a great challenge for underwater imaging and existing image processing methods cannot provide a real solution for these problems. However, recent studies in the research field of applied polarization optics have shown that measuring the complete polarization state of light coming from a scene can be useful for the recovery of images heavily affected by light scattering. This measurement technique that was originally inspired from biology is called imaging polarimetry, which is an efficient way of acquiring spatially detailed polarization information about a scene. The primary objective of this research project is to apply precision imaging polarimetry for image recovery in underwater photography as a methodological framework integrated into the underwater image mosaicing process. It is aimed to (1) develop and properly adapt the technique of polarimetric image acquisition for the underwater environment, (2) incorporate this technique into the visual system of an Autonomous Underwater Vehicle (AUV) built by the Computer Vision and Robotics Group (VICOROB) at the University of Girona and (3) integrate polarization data assessment algorithms into the image enhancement and image mosaicing process. The proposed research will significantly improve the efficiency of environmental monitoring on marine habitats and will stimulate technological advancement of underwater vehicles used in industrial applications.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences computer and information sciences artificial intelligence computer vision
- natural sciences physical sciences optics
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2009-IEF
See other projects for this call
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
17004 Girona
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.