Visual Systems

Building on the successful formula of the first edition, Martin Tovée offers a concise but detailed account of how the visual system is organised and functions to produce visual perception. He takes his readers from first principles; the structure and function of the eye and what happens when light enters, to how we see and process images, recognise patterns and faces, and through to the most recent discoveries in molecular genetics and brain imaging, and how they have uncovered a host of new advances in our understanding of how visual information is processed within the brain. Incorporating new material throughout, including almost 50 new images, every chapter has been updated to include the latest research, and culminates in helpful key points, which summarise the lessons learnt. This book is an invaluable course text for students within the fields of psychology, neuroscience, biology and physiology.

This tutorial explains the human eye, its function, and performance limits from the perspective of an experienced optical engineer and lens designer. It is concise and readable, with examples and data, and is intended for students, practicing engineers, and technology users.

These are the proven benefits of implementing "visual systems" - a highly successful lean-production approach that uses visual indicators, signals, controls, and guarantees to direct and support activities on the shop floor. The result is a self-explaining and self-regulating workplace where critical information is shared rapidly, accurately, and without speaking a word. Visual Systems is a comprehensive look at how to implement this breakthrough approach. Any company can use Dr. Gwendolyn D. Galsworth's approach to organize, share, and visually manage the thousands of location details on which the daily life of an enterprise depends. Use this book to build common sense and a common improvement language directly into the workplace and put an end to costly secrets, surprises, and microsupervision.

This report describes the research on a biological visual system (BVS) based sensor with possible applications to robotics and automation. The report covers the following subjects: sensor configuration; edge detection modeling for the human visual system and edge detection using the BVS sensor. qualitative motion detection using the BVS; Target tracking algorithms for the BVS; and Microsaccadic eye movement in the human visual system (HVS). Keywords: Machine visual sensor.

It is now generally accepted for a variety of reasons - morphological as well as physiologica- that the visual systems of arthropods provide a suitable model for the study of information proces sing in neuronal networks. Unlike the neurophysiology of the visual pathway in the frog and the cat which is more than adequately documented, recent work on the compound eye and optical ganglia of spiders, crustaceans, and insects has scarcely been summarized. In order to fill this void so that others, especially vertebrate neurophysiologists may become familiar with the advan tages of these systems, our group at Zurich University organized here in March 1972, a European meeting to discuss the anatomical. ! neurophysiological and behavioral knowledge on the compound eye and the visual. pathway of arthropods. Systems analysis was regarded as the main theme of the conference, but systems analysis of a network of neurons cannot be done as a mere "black-box" maneuver. The conference therefore tried to reconcile neurophysiology and behavioral analysis in order to make predictions about a necessary and sufficient neural structure. The "wiring dia grams" of such a structure might then be confirmed histologically. Hence the aim of the conferen ce was not to deal only with the structure and function of the compound eye - i. e.

This book is the only account of what honeybees actually see. Bees detect some visual features such as edges and colours, but there is no sign that they reconstruct patterns or put together features to form objects. Bees detect motion but have no perception of what it is that moves, and certainly they do not recognize "things" by their shapes. Yet they clearly see well enough to fly and find food with a minute brain. Bee vision is therefore relevant to the construction of simple artificial visual systems, for example for mobile robots. The surprising conclusion is that bee vision is adapted to the recognition of places, not things. In this volume, Adrian Horridge also sets out the curious and contentious history of how bee vision came to be understood, with an account of a century of neglect of old experimental results, errors of interpretation, sharp disagreements, and failures of the scientific method. The design of the experiments and the methods of making inferences from observations are also critically examined, with the conclusion that scientists are often hesitant, imperfect and misleading, ignore the work of others, and fail to consider alternative explanations. The erratic path to understanding makes interesting reading for anyone with an interest in the workings of science but particularly those researching insect vision and invertebrate sensory systems.