A methodology for evaluating range image segmentation algorithms is proposed. This
methodology involves (1) a common set of 40 laser range finder images and 40 structured …

Estimation techniques in computer vision applications must estimate accurate model
parameters despite small-scale noise in the data, occasional large-scale measurement …

This thesis presents extensions to the local binary pattern (LBP) texture analysis operator.
The operator is defined as a gray-scale invariant texture measure, derived from a general …

MINPRAN is a new robust estimator capable of finding good fits in data sets containing more
than 50% outliers. Unlike other techniques that handle large outlier percentages, MINPRAN …

Visual information makes up about seventy five percent of all the sensorial information
received by a person during a lifetime. This information is processed not only efficiently but …

We propose a novel image segmentation technique using the robust, adaptive least kth
order squares (ALKS) estimator which minimizes the kth order statistics of the squares of …

Range sensors, in particular time-of-flight and stereo cameras, are being increasingly used
for applications such as robotics, automotive, human-machine interface and virtual reality …

In building a 3-D model of the environment from image and sensor data, one must fit to the
data an appropriate class of models, which can be regarded as a parametrized manifold, or …

When fitting models to data containing multiple structures, such as when fitting surface
patches to data taken from a neighborhood that includes a range discontinuity, robust …

From all the available models for non-Gaussian impulsive interference, algebraic-tailed
distributions present perhaps the most desirable characteristics in terms of both fidelity and …