Published in the year 1982, Visual Form Detection in Three-dimensional Space is a valuable contribution to the field of Cognitive Psychology.

Published in the year 1982, Visual Form Detection in Three-dimensional Space is a valuable contribution to the field of Cognitive Psychology.

This monograph presents the results of a program of research dealing with the detection of dotted stimulus forms embedded in dotted visual noise. Nineteen experiments are described concerning the detection of single flashing dots, dotted lines, and both random and regularly dotted planes. A mathematical model based upon the autocorrelational transform is also tested for some of the experiments. Among the most important findings are a remarkable insensitivity of the perceptual system to temporal and spatial irregularities and a qualitative difference in the way observers deal with planes formed from random dot arrays and dotted outlines respectively. The autocorrelation model is in general agreement with the psychophysical results against which it is tested. The main conclusion arising from this research may be summarized as the rule of linear periodicity. Observers ar sensitive to forms to the extent that they contain dotted, straight lines with equal interdot spacing. This sensitivity appears to be a primitive of visual perception in a manner that is analogous to the sensitivity exhibited by the autocorrelation to periodic forms. Historical and lexicographic matters pertaining to the problem of form perception are also discussed in this monograph. (Author).

Machine Vision for Three-Dimensional Scenes contains the proceedings of the workshop "Machine Vision - Acquiring and Interpreting the 3D Scene" sponsored by the Center for Computer Aids for Industrial Productivity (CAIP) at Rutgers University and held in April 1989 in New Brunswick, New Jersey. The papers explore the applications of machine vision in image acquisition and 3D scene interpretation and cover topics such as segmentation of multi-sensor images; the placement of sensors to minimize occlusion; and the use of light striping to obtain range data. Comprised of 14 chapters, this book opens with a discussion on 3D object recognition and the problems that arise when dealing with large object databases, along with solutions to these problems. The reader is then introduced to the free-form surface matching problem and object recognition by constrained search. The following chapters address the problem of machine vision inspection, paying particular attention to the use of eye tracking to train a vision system; images of 3D scenes and the attendant problems of image understanding; the problem of object motion; and real-time range mapping. The final chapter assesses the relationship between the developing machine vision technology and the marketplace. This monograph will be of interest to practitioners in the fields of computer science and applied mathematics.

First published in 1984. This monograph is the third in a series that examines the nature of a midlevel visual process relatively uncontaminated by either peripheral receptor or central cognitive processing. The paradigm utilized in this study selectively assays what seems to be a relatively fixed algorithmic mechanism involved in the extraction of dotted stimulus-forms from masks consisting of random dots.

A compilation of 380 of SIAM Review's most interesting problems dating back to the journal's inception in 1959.

Originally published in 1988, this is the final volume in the set. The original intent of the tetralogy was to review neural explanations of high level perceptual and cognitive processes. However, at this point, it became clear that there were few neural explanations of perceptual topics – a situation that still persists today. This book, therefore, used a different framework examining the role of detection, discrimination, and recognition at the behavioral level.

"This book aims to strengthen an understanding of the sculptural possibilities of form and space through developing a visual language and structure that recognizes and gives priority to 3-dimensional visual perception. It is written so as to apply to both the active process of shaping 3-D form and space and analyzing any existing visual situation."-- Introduction.

This research monograph describes a large programming project in which an underwater organism, capable of perceiving, learning, deciding, and navigating, is computationally simulated. The developed computational model serves as a contemporary theory of perceptual-motor performance, embodying much of what is known about human vision and some of what is known about other cognitive processes. This artificial intelligence project has substantial contributions to make to the development of autonomous underwater vehicles. It also makes a specific theoretical statement about the organization and nature of organic perceptual motor systems that may be useful to psychologists, neuroscientists, and theoreticians in a number of other fields.