We present an overview of various edge and line oriented approaches to contour detection
that have been proposed in the last two decades. By edge and line oriented we mean …

Object contour plays an important role in fields such as semantic segmentation and image
classification. However, the extraction of contour is a difficult task, especially when the …

We present a new method for completing missing parts caused by the removal of foreground
or background elements from an image. Our goal is to synthesize a complete, visually …

This book introduces a new theory in Computer Vision yielding elementary techniques to
analyze digital images. These techniques are a mathematical formalization of the Gestalt …

We propose a method for detecting geometric structures in an image, without any a priori
information. Roughly speaking, we say that an observed geometric event is “meaningful” if …

A new method is presented for detecting triangular, square and octagonal road signs
efficiently and robustly. The method uses the symmetric nature of these shapes, together …

Experimental observations suggest that contour integration may take place in V1. However,
there has yet to be a model of contour integration that uses only known V1 elements …

This book represents a summary of the research we have been conducting since the early
1990s, and describes a conceptual framework which addresses some current shortcomings …

We describe an algorithm and representation-level theory of illusory contour shape and
salience. Unlike previous theories, our model is derived from a single assumption: that the …

This monograph reviews both the theory and practice of the numerical computation of
geodesic distances on Riemannian manifolds. The notion of Riemannian manifold allows …