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" ... Is the first book to survey the intersection between design, the body, science and the senses, from the utopian pods and head gear of the 1960s, to the high-tech prostheses, wearable computing, implants, and interfaces between computers and humans of the past decade ..."--Introduction, p. 6.
This comprehensive and authoritative text/reference presents a unique, multidisciplinary perspective on Shape Perception in Human and Computer Vision. Rather than focusing purely on the state of the art, the book provides viewpoints from world-class researchers reflecting broadly on the issues that have shaped the field. Drawing upon many years of experience, each contributor discusses the trends followed and the progress made, in addition to identifying the major challenges that still lie ahead. Topics and features: examines each topic from a range of viewpoints, rather than promoting a specific paradigm; discusses topics on contours, shape hierarchies, shape grammars, shape priors, and 3D shape inference; reviews issues relating to surfaces, invariants, parts, multiple views, learning, simplicity, shape constancy and shape illusions; addresses concepts from the historically separate disciplines of computer vision and human vision using the same “language” and methods.
As the general notion of cognition has recently broadened to include its embodied nature, researchers' accounts of perception have increasingly come to include the body's special status as a window on the world and to accommodate the specific perceptual requirements for identifying, interpreting, and interacting with other bodies. This volume presents a comprehensive overview of the rapid progress that has been made in understanding the human body and its relationship to perception. It will help to unify the relevant research from several independent areas of cognitive psychology and cognitive neuroscience and facilitate the development of an integrated framework for the study of human-body perception.
Explores the parts of the eye and how they function, including information on diseases and illnesses.
Haptic perception – human beings’ active sense of touch – is the most complex of human sensory systems, and has taken on growing importance within varied scientific disciplines as well as in practical industrial fields. This book's international team of authors presents the most comprehensive collection of writings on the subject published to date and cover the results of research as well as practical applications. After an introduction to the theory and history of the field, subsequent chapters are dedicated to the neuro-physiological basics as well as the psychological and clinical neuro-psychological aspects of haptic perception.
Recent years have witnessed important advancements in our understanding of the psychological underpinnings of subjective properties of visual information, such as aesthetics, memorability, or induced emotions. Concurrently, computational models of objective visual properties such as semantic labelling and geometric relationships have made significant breakthroughs using the latest achievements in machine learning and large-scale data collection. There has also been limited but important work exploiting these breakthroughs to improve computational modelling of subjective visual properties. The time is ripe to explore how advances in both of these fields of study can be mutually enriching and lead to further progress. This book combines perspectives from psychology and machine learning to showcase a new, unified understanding of how images and videos influence high-level visual perception - particularly interestingness, affective values and emotions, aesthetic values, memorability, novelty, complexity, visual composition and stylistic attributes, and creativity. These human-based metrics are interesting for a very broad range of current applications, ranging from content retrieval and search, storytelling, to targeted advertising, education and learning, and content filtering. Work already exists in the literature that studies the psychological aspects of these notions or investigates potential correlations between two or more of these human concepts. Attempts at building computational models capable of predicting such notions can also be found, using state-of-the-art machine learning techniques. Nevertheless their performance proves that there is still room for improvement, as the tasks are by nature highly challenging and multifaceted, requiring thought on both the psychological implications of the human concepts, as well as their translation to machines.
Breaking the Spell: An Exploration of Human Perception examines how people have become largely disconnected from a living, energetic universe through social conditioning. Over generations humanity has lost much of its creative spirit, imagination, and perceptual faculties. In this book the author addresses how we should 'break the spell' of our conditioned perceptions and learn to manage and develop our emotional, mental, and physical energies. Through such chapters as Managing One's Energy, Being Vigilant, and Stepping Away, the author explains in very simple language the necessity for each person to regain their focus, inner calm, and to observe the chaotic impacts that surround them. The author also discusses how a person can refine their perceptions through inner intent. The book also contains an inspiring collection of thoughts; and an Appendix on the misunderstandings of modern day spirituality. In these distracting times it is imperative that each person learns to empower themselves by learning to harness and develop their personal energies. This timely book explains just how to 'break the spell' of our hypnotic world. , ,
An expert explores the riddle of subjective time, from why time speeds up as we grow older to the connection between time and consciousness.
Cognitive Information Systems in Management Sciences summarizes the body of work in this area, taking an analytical approach to interpreting the data, while also providing an approach that can be used for practical implementation in the fields of computing, economics, and engineering. Using numerous illustrative examples, and following both theoretical and practical results, Dr. Lidia Ogiela discusses the concepts and principles of cognitive information systems, the relationship between intelligent computer data analysis, and how to utilize computational intelligent approaches to enhance information retrieval. Real world implantation use cases round out the book, with valuable scenarios covering management science, computer science, and engineering. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS - Discusses the basic concepts and principles in cognitive information systems, providing 'real-world' implementation examples - Explains the relationship between intelligent computer data analysis and how to utilize computational intelligent approaches to enhance information retrieval - Provides a unified structured approach that can be used to develop information flow in cognitive management systems