Object recognition systems constitute a deeply entrenched and omnipresent component of
modern intelligent systems. Research on object recognition algorithms has led to advances …

Human face detection has always been an important problem for face, expression and
gesture recognition. Though numerous attempts have been made to detect and localize …

We propose a new approach for automatic road extraction from aerial imagery with a model
and a strategy mainly based on the multi-scale detection of roads in combination with …

We study image segmentation on the basis of locally excitatory, globally inhibitory oscillator
networks (LEGION), whereby the phases of oscillators encode the binding of pixels. We …

Perceptual organization offers an elegant framework to group low-level features that are
likely to come from a single object. We offer a novel strategy to adapt this grouping process …

This paper describes an algorithm that robustly locates salient convex collections of line
segments in an image. The algorithm is guaranteed to find all convex sets of line segments …

Saliency is an important perceptual cue that occurs at different levels of resolution. Important
attributes of saliency are symmetry, continuity, and closure. Detection of these attributes is …

The task scheduling timeliness problem on satellite networks is crucial to realizing the
Space-Terrestrial Integrated Network (STIN). Traditional methods interpret the satellite …

We present a unified computational framework which properly implements the smoothness
constraint to generate descriptions in terms of surfaces, regions, curves, and labelled …

This paper describes the development of an approach for automatic building detection from
aerial imagery. The development has concentrated on two aspects: to systematize the …