The role of perceptual organization in computer vision systems is explored. This is done
from four vantage points. A brief history of perceptual organization research in both humans …

Describing non-parametric and parametric theoretic classification and the training of
discriminant functions, this second edition includes new and expanded sections on neural …

Autonomous vision-based taxi, takeoff, and landing systems are gaining popularity in fixed-
wing commercial, military, and unmanned aerial vehicles presenting new technical and …

In this paper, we present work on automatic road extraction from high-resolution aerial
imagery taken over urban areas. In order to deal with the high complexity of this type of …

Fast and automatic detection of airports from remote sensing images is useful for many
military and civilian applications. In this paper, a fast automatic detection method is …

This letter presents a new method for airport detection from large high-spatial-resolution
IKONOS images. To this end, we describe airport by a set of scale-invariant feature …

We propose the use of texture motifs, or characteristic spatially recurrent patterns, for
modeling and detecting geospatial objects. A method is proposed for learning a texture-motif …

Polygonal objects are prevalent in man-made scenes. Early approaches to detecting them
relied mainly on geometry while subsequent ones also incorporated appearance-based …

A method for extraction of straight-line-based primitives is proposed. It is based on a bottom-
up approach that extracts linear primitives first, then line segments, that are grouped in …

Control software of autonomous robots has stringent real-time requirements that must be
met to achieve the control objectives. One source of variability in the performance of a …