Objective
One of the most fundamental challenges in computer vision is to reliably establish correspondence - how to match a location in one image to its counterpart in another. It lies at the heart of numerous important problems, for example stereo, optical flow, tracking and the reconstruction of scene geometry from several photographs. The most popular approaches to solve these problems are based on the simplification that a scene point looks the same from wherever and whenever it is observed. However, this is fundamentally wrong, since its color changes with viewing direction and illumination. This invariably leads to failures when dealing with reflecting or transparent surfaces or changes in lighting, which commonly occur in natural scenes.
We therefore propose to radically rethink the underlying assumptions and work with light fields to describe the visual appearance of a scene. Compared to a traditional image, a light field offers information not only about the amount of incident light, but also the direction where it is coming from. In effect, the light field implicitly captures scene geometry and reflectance properties. In the following, we will argue that variational algorithms based on light field data have the potential to considerably advance the state-of-the-art in all image analysis applications related to lighting-invariant robust matching, geometry reconstruction or reflectance estimation.
Since computational cameras are currently making rapid progress, we believe that light fields will soon become a focus of computer vision research. Already, commercial plenoptic cameras allow to easily capture the light field of a scene and are suitable for real-world applications, while a recent survey even predicted that in about 20 years time, every consumer camera will be a light field camera. Our research will investigate fundamental mathematical tools and algorithms which will substantially contribute to drive this development.
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology materials engineering colors
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- natural sciences computer and information sciences artificial intelligence computer vision
- natural sciences mathematics pure mathematics geometry
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
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.
ERC-2013-StG
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.
Host institution
78464 Konstanz
Germany
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.