One important task of site monitoring is change detection from aerial images. Change, in
general, can be of various types. In this paper we address the problem of developmental …

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 …

A long-standing puzzle in visual perception is that the apparent extent of a spatial interval
(eg, the distance between two points or the length of a line) does not simply accord with the …

We address instance-based learning from a perceptual organization standpoint and present
methods for dimensionality estimation, manifold learning and function approximation. Under …

Methods Based on Local Interactions. Shashua and Ullman [99] first addressed the issue of
structural saliency and how prominent curves are formed from tokens that are not salient in …

We present a new method of segmentation in which images are segmented in partitions with
connected components. We give computationally inexpensive algorithms for probability …

Most computer vision applications require the reliable detection of boundaries. In the
presence of outliers, missing data, orientation discontinuities, and occlusion, this problem is …

Any reasonably large group of individuals, families, states, and parties exhibits the
phenomenon of subgroup formations within the group such that the members of each group …

Birkhoff proposed that order divided by complexity is a formula for esthetic measurement. In
that context, this work proposes to measure order with a method to quantify Gestalt …

In this paper, a novel approach is proposed for perceptual grouping and localization of ill-
defined curvilinear structures. Our approach builds upon the tensor voting and the iterative …