The authors review major recent developments in establishing stereo correspondence for
the extraction of the 3D structure of a scene. Broad categories of stereo algorithms are …

Our eyes capture different 2-D images of the objects around us and our brain uses these
images to recover a description of the 3-D structure of the environment. Stereopsis is the …

An algorithm is proposed for solving the stereoscopic matching problem. The algorithm
consists of five steps:(1) Each image is filtered at different orientations with bar masks of four …

To master the fundamentals of image registration, there is no more comprehensive source
than 2-D and 3-D Image Registration. In addition to delving into the relevant theories of …

Surveys learning algorithms for recurrent neural networks with hidden units and puts the
various techniques into a common framework. The authors discuss fixed point learning …

Central to contemporary cognitive science is the notion that mental processes involve
computations defined over internal representations. This view stands in sharp contrast to the …

This chapter describes the fiow of information from the senses through the brain and the
motor system. It introduces the information-processing approach to the brain, which is aimed …

Acquire the tools for understanding new architectures and algorithms of dynamical recurrent
networks (DRNs) from this valuable field guide, which documents recent forays into artificial …

For human vision to be explained by a computational theory, the first question is plain: What
are the problems that the brain solves when we see? It is argued that vision is the …

Эта книга должна понравиться читателю. Она посвящена волнующим событиям,
которые я пережил с тех пор, как в 1973 году М. Минский и С. Пейперт пригласили меня …