
17 Sep M1 or M2 Internship – Visual Feature Extraction from Natural Scenes
Information
Laboratory: Laboratoire des Systèmes Perceptifs
Address: 29 rue d’Ulm, 75005 Paris France
Team: Vision
Adviser: Peter Neri
Email: neri.peter@gmail.com
Length of internship: Minimum 3 months
Language: English
Visual processing of simple image elements (such as lines and edges) does not happen inside a cognitive vacuum: it may differ when those simple elements are embedded within natural scenes that look more like what we see every day, as opposed to th e featureless backgrounds that are normally used in the laboratory. We know a good amount about the mechanisms that support vision under the latter conditions (i.e. involving a simple stimulus with no natural meaningful content), but we know virtually nothing about how those mechanisms may change and/or be augmented/replaced by new mechanisms under conditions that are closer to natural vision (i.e. when the image starts making sense and contains recognizable objects). Your project would attempt to understand this transition from elementary vision to natural vision. Below is an example of a relevant publication that looked at this question: Neri, P. (2014). Semantic control of feature extraction from natural scenes. Journal of Neuroscience, 34, 2374-2388. Prior experience with computer programming (C++, Matlab, Python) is highly desirable.
Please click here to apply.
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