Science of Vision (eBook, PDF)

Redaktion: Leibovic, K. N.

• Format: PDF

Produktbeschreibung

Converging lines of biological, perceptual and theoretical approaches are brought together in The Science of Vision to give a new perspective on the brain sciences and vision in particular. The book contains contributions from experts in the fields of biophysics, physiology, psychology and computation. While reviewing some basic knowledge, it mainly presents fresh ideas and includes some new results. The topics range from cells through perception to neurocomputing and are treated in depth, taking the specialist to the frontiers of research. At the same time the book is written in a manner understandable to the nonspecialist, in keeping with the multidisciplinary appeal of the subject. A glossary of terms also makes the book easy to read. In our age of specialization, this integrated approach is a welcome addition to the literature which will further interdisciplinary research and shed new light on the vision sciences.

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Produktdetails

• Verlag: Springer New York
• Seitenzahl: 487
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781461234067
• Artikelnr.: 44183742

Inhaltsangabe

1: Biophysics and Physiology.- 1 The Visual Pathway: An Introduction to Structure and Organization.- 2 Vertebrate Photoreceptors.- 3 The Vertebrate Retina.- 4 Nested Maps in Macaque Monkey Visual Cortex.- 5 Development of Orderly Connections in the Retinotectal System.- 2: Psychophysics.- 6 Perceptual Aspects of Spatial and Temporal Relationships.- 7 Classical and Modern Psychophysical Studies of Dark and Light Adaptation and Their Relationship to Underlying Retinal Function.- 8 Human Color Perception.- 9 From Visual Structure to Perceptual Function.- 3: Theory and Computation.- 10 Visual Information: Structure and Function.- 11 Computational Vision with Reference to Binocular Stereo Vision.- 12 Computer Vision Analysis of Boundary Images.- 13 A Representation for Qualitative 3-D Object Recognition Integrating Object-Centered and Viewer-Centered Models.- 14 From 2-D Images to 3-D Models.- 15 Applied Machine Vision.