We present a novel method for automatic vanishing point detection based on primal and
dual point alignment detection. The very same point alignment detection algorithm is used …

We show that, in images of man-made environments, the horizon line can usually be
hypothesized based on an a contrario detection of second-order grouping events. This …

Limited by the noise, missing data and varying sampling density of the point clouds, planar
primitives are prone to be lost during plane segmentation, leading to topology errors when …

Monitoring space assets for safety and sustainability compliance requires active
measurement of positional information, commonly done via optical remote sensing in which …

Line extraction is a preliminary step in various visual robotic tasks performed in low textured
scenes such as city and indoor settings. Several efficient line segment detection algorithms …

Existing methods that rely on a single Gaussian scale to detect line segments could yield
poor line continuity and inferior orientation and position accuracy due to insufficient …

This paper presents a robust method for rotation estimation of planar point sets using the
Angular Radon Spectrum (ARS). Given a Gaussian Mixture Model (GMM) representing the …

Using simple grouping rules in Gestalt theory, one may detect higher level features
(geometric structures) in an image from elementary features. By recursive grouping of …

Anomalies can be defined as any non-random structure which deviates from normality.
Anomaly detection methods reported in the literature are numerous and diverse, as what is …

The problem of mapping hidden alignments of points in data sets of two-dimensional points
is of significant interest in many geoscience disciplines. In this paper, we revisit this issue …