This paper describes a system for the automatically learned partitioning of visual patterns in
2D images, based on sophisticated band-pass filtering with fixed scale and orientation …

This paper presents three computational visual distinctness measures, computed from
image representational models based on selective filtering, statistical features, and visual …

Spanish computer scientists and physicist consider two different situations in predicting
visual target distinctness by means of a computer vision model. First, they assume that the …

In this work, we have reformulated the selection of a few responding units tuned to patterns
of activity from the Fourier spectrum as a multilayer system composed of four stages of …

This paper presents a bibliography of nearly 1700 references related to computer vision and
image analysis, arranged by subject matter. The topics covered include computational …

We show that a notion of congruence in statistical structure across 2D frequency bands
produces a useful definition of visual patterns for perceiving target distinctness. In order to …

This paper describes a system for the automatically learned partitioning of\visual patterns" in
digital images, based on a sophisticated, band-pass, ltering operation, with xed scale and …

Much of object perception requires the integration of image information for features that are
separated in space or in time. Therefore a computational model capable of working with real …

Much of object perception requires the visual system to integrate image information for
image features that are separated in space or in time. Thus, in a system capable of working …

This paper describes a system for the automatically learned partitioning of\visual patterns" in
2D images, based on a sophisticated, band-pass, ltering operation, with xed scale and …