This paper introduces a statistical method to decide whether two blocks in a pair of images
match reliably. The method ensures that the selected block matches are unlikely to have …

In Global Navigation Satellite System (GNSS) positioning, urban environments represent an
issue particularly because of multipath and nonline-of-sight effects. The latter effects induce …

In urban areas or space-constrained environments with obstacles, vehicle localization using
Global Navigation Satellite System (GNSS) data is hindered by Non-Line Of Sight (NLOS) …

This paper proposes a method for computing efficiently the significance of a parametric
pattern inside a binary image. On the one hand, a-contrario strategies avoid the user …

Normalized Cuts is a state-of-the-art spectral method for clustering. By applying spectral
techniques, the data becomes easier to cluster and then k-means is classically used …

A parameter free technique for finding changes between images is discussed. The
technique uses the Helmholtz principle to find changes in an input image in situations where …

We consider grou** as a general characterization for problems such as clustering,
community detection in networks, and multiple parametric model estimation. We are …

Edge detection remains an active problem in the image processing community, because of
the high complexity of natural images. In the last decade, Desolneux et al. proposed a novel …

We present a novel segmentation algorithm based on a hierarchical representation of
images. The main contribution of this work is to explore the capabilities of the a contrario …

This thesis deals with different aspects concerning the detection, fitting, and identification of
elliptical features in digital images. We put the geometric feature detection in the a contrario …