Defended on 26th April, 2013 |
Propositions of the PhD thesis
- The CORF (Combination of Receptive Fields) model of a simple cell outperforms the Gabor function model
- A nonlinear, multiplicative response of a CORF model simple cell is biologically more plausible than linear spatial summation
- Simulated reverse correlation is a powerful tool to determine the properties of a filter
- An adaptive and irregular area of support of a COSFIRE filter allows the modelling of complex visual features and shapes
- The shape of an object can be effectively represented in a hierarchical way by the mutual spatial arrangement of simple lines and edges, followed by vertices, combinations of vertices, etc …
- A blurring function based on a weighted maximum rather than weighted sum is more robust to allow for some tolerance in the relative locations of contour parts of a pattern of interest
- A COSFIRE filter is selective to the shape properties of a pattern of interest and it is more robust to contrast variations and presence of texture than methods that use (dis)similarity measures to compare descriptors
- Effectiveness has priority over efficiency
- The rejection of a paper should not be considered as a setback, but an opportunity to improve the work and to re-submit it to a more reputable journal