Michael R. M. Jenkin – författare

The world is divided into objects: things that are distinct from their backgrounds and that can move or be moved. Objects are food and prey and threats, as well as neutral items, and it is critical to be able to see them. How the form of an object is distinguished is one of the most basic, yet least understood, topics of research in vision perception. The object-defining system needs to operate in the real world, where objects and viewers move, and where the sceneis cluttered, rarely offering a clear, unobscured view of any object. How are we able to see and define objects using the complex pattern of light falling on the retina? An object becomes visible if it differs sufficiently from its surroundings in its luminance, color, texture, motion, or depth.Although the processes that use these different cues are quite distinct, research has shown that they share some organizational principles. Seeing Spatial Form, is dedicated to David Martin Regan who has made so many contributions to our understanding of how we see objects. Its chapters bring together ideas from some of the world's leading researchers in form vision to explain what we know about distinguishing form. The book includes a CD-ROM, which contains additional demonstrationsand color images that considerably enhance the chapter contents. Seeing Spatial Form will be an invaluable resource for student and professional researchers in vision science, cognitive psychology, and neuroscience.

Computational vision deals with the underlying mathematical and computational models for how visual information is processed. Whether the processing is biological or machine, there are fundamental questions related to how the information is processed. How should information be represented? How should information be transduced in order to highlight features of interest while suppressing noise and other artefacts of the image capture process? Computational Vision in Neural and Machine Systems address these and other questions in 13 chapters, divided into three sections, which overlap between biological and computational systems: dynamical systems; attention, motion, and eye-movements; and stereovision. The editors have brought together the best and brightest minds in the field of computational vision, combining research from both biology and computing and enhancing the developing synergy between computational and biological visual modelling communities. Aimed at researchers and graduate students in computational or biological vision, neuroscience, and psychology.