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Shimon Ullman focuses on the processes of high-level vision that deal with the interpretation and use of what is seen in the image. In this book, Shimon Ullman focuses on the processes of high-level vision that deal with the interpretation and use of what is seen in the image. In particular, he examines two major problems. The first, object recognition and classification, involves recognizing objects despite large variations in appearance caused by changes in viewing position, illumination, occlusion, and object shape. The second, visual cognition, involves the extraction of shape properties and spatial relations in the course of performing visual tasks such as object manipulation, planning movements in the environment, or interpreting graphical material such as diagrams, graphs and maps. The book first takes up object recognition and develops a novel approach to the recognition of three-dimensional objects. It then studies a number of related issues in high-level vision, including object classification, scene segmentation, and visual cognition. Using computational considerations discussed throughout the book, along with psychophysical and biological data, the final chapter proposes a model for the general flow of information in the visual cortex. Understanding vision is a key problem in the brain sciences, human cognition, and artificial intelligence. Because of the interdisciplinary nature of the theories developed in this work, High-Level Vision will be of interest to readers in all three of these fields.
Since the 1970s the cognitive sciences have offered multidisciplinary ways of understanding the mind and cognition. The MIT Encyclopedia of the Cognitive Sciences (MITECS) is a landmark, comprehensive reference work that represents the methodological and theoretical diversity of this changing field. At the core of the encyclopedia are 471 concise entries, from Acquisition and Adaptationism to Wundt and X-bar Theory. Each article, written by a leading researcher in the field, provides an accessible introduction to an important concept in the cognitive sciences, as well as references or further readings. Six extended essays, which collectively serve as a roadmap to the articles, provide overviews of each of six major areas of cognitive science: Philosophy; Psychology; Neurosciences; Computational Intelligence; Linguistics and Language; and Culture, Cognition, and Evolution. For both students and researchers, MITECS will be an indispensable guide to the current state of the cognitive sciences.
These essays tackle some of the central issues in visual cognition, presenting experimental techniques from cognitive psychology, new ways of modeling cognitive processes on computers from artificial intelligence, and new ways of studying brain organization from neuropsychology, to address such questions as: How do we recognize objects in front of us? How do we reason about objects when they are absent and only in memory? How do we conceptualize the three dimensions of space? Do different people do these things in different ways? And where are these abilities located in the brain? While this research, which appeared as a special issue of the journal Cognition, is at the cutting edge of cognitive science, it does not assume a highly technical background on the part of readers. The book begins with a tutorial introduction by the editor, making it suitable for specialists and nonspecialists alike.
"Neurobiology of Cognition and Behavior" is a cognitive neuroscience that maps cognitive/behavioral units with anatomical regions in the human brain. The brain-behavioral associations are based on functional neuroimaging combined with lesion studies. The findings will be used to explain differences in clinical syndromes with videos of patients included.
This book provides its readers the fundamental concepts in computer vision and how to design and implement vision algorithms for given problems. No prior knowledge of computer vision is required, but readers are expected to have experience in computer programming. Commented sample code in the C language and a variety of programming exercises in this book will assist the readers in developing an in-depth understanding of computer vision algorithms and their implementations. All major computer vision topics such as image preprocessing, edge detection, image segmentation, shape representation, texture, object recognition, image understanding, stereo vision, and motion are covered, together with their mathematical foundations and biological counterparts. By additionally providing hands-on experience on building computer vision systems from the ground up, this book will equip the readers with the skills necessary for developing professional vision solutions or conducting computer vision research in graduate schools.
"In Perception: First Form of Mind, Tyler Burge develops an understanding of the most primitive type of representational mind: perception. Focusing on its form, function, and underlying capacities, as indicated in the sciences of perception, Burge provides an account of the representational content and formal representational structure of perceptual states, and develops a formal semantics for them. The account is elaborated by an explanation of how the representational form is embedded in an iconic format. These structures are then situated in current theoretical accounts of the processing of perceptual representations, with an emphasis on the formation of perceptual categorizations. An exploration of the relationship between perception and other primitive capacities-conation, attention, memory, anticipation, affect, learning, and imagining-clarifies the distinction between perceiving, with its associated capacities, and thinking, with its associated capacities. Drawing on a broad range of historical and contemporary research, rather than relying on introspection or ordinary talk about perception, Perception: First Form of Mind is a scientifically rigorous and agenda-setting work in the philosophy of perception and the philosophy of science"--
The contributors to this book focus on such key aspects of motion processing as interaction and integration between locally measured motion units, structure from motion, heading in an optical flow, and second-order motion. They also discuss the interaction of motion processing with other high-level visual functions such as surface representation and attention.
An essential reference book for visual science.
Annotation In 1997, Rakover (U. of Haifa) and Cahlon (Oakland U, Michigan) won an award from the Minister of Internal Security of the State of Israel for developing the Catch model for face recognition. Since then they have proposed the law of Face Recognition by Similarity. Here they describe the computer and mathematical research they have conducted and some of their results. Annotation c. Book News, Inc., Portland, OR (booknews.com).
Vision is our most dominant sense, from which we derive most of our information about the world. From the light that enters the eye and the processing in the brain that follows we can sense where things are, how they move and what they are. The first edition of Visual Perception took a refreshingly different approach to perception, starting from the function that vision serves for an active observer in a three-dimensional environment. This fully revised and expanded new edition continues this approach in contrast to the traditional textbook treatment of vision as a catalogue of phenomena. Following a general introduction to the main theoretical approaches, the authors discuss the historical basis of our current knowledge. Placing the study of vision in its historical context, they look at how our ideas have been shaped by art, optics, biology and philosophy as well as psychology. Visual optics and the neurophysiology of vision are also described. The core of the book covers the perception of location, motion and object recognition. There is a new chapter on representation and vision, including a section on the perception of computer generated images. This readable, accessible and truly relevant introduction to the world of perception aims to elicit both independent thought and further study. It will be welcomed by students of visual perception and those with a general interest in the mysteries of vision.