Computer Analysis And Perception

Advances in computing and communications have brought about an increasing demand for visual information. Visual Computing addresses the principles behind "visual technology", and provides readers with a good understanding of how the integration of Computer Graphics, Visual Perception and Imaging is achieved. Included in the book is an overview of important research areas within this integration which will be useful for further work in the field. Foundations of visual perception and psychophysics are presented as well as basic methods of imaging and computer vision. This book serves as an excellent reference and textbook for those who wish to apply or study "visual computing technology."

This book considers computer vision to be an integral part of the artificial intelligence system. The core of the book is an analysis of possible approaches to the creation of artificial vision systems, which simulate human visual perception. Much attention is paid to the latest achievements in visual psychology and physiology, the description of the functional and structural organization of the human perception mechanism, the peculiarities of artistic perception and the expression of reality. Computer vision models based on these data are investigated. They include the processes of external data analysis, internal environmental model synthesis, and the generating of behavioristic responses based on external and internal models comparison. Computer vision system evolution resulting from environmental effects is also considered. A unique feature of this book is the authors' use of black and white, and colour prints of traditional and contemporary Russian art to illustrate their principal theses. In doing so, they introduce the reader to a particularly Russian view of the world.

This book contains a complete and accurate mathematical treatment of the sounds of music with an emphasis on musical timbre. The book spans the range from tutorial introduction to advanced research and application to speculative assessment of its various techniques. All the contributors use a generalized additive sine wave model for describing musical timbre which gives a conceptual unity, but is of sufficient utility to be adapted to many different tasks.

Durer's Devices: Beyond the Projective Model of Pictures is a collection of papers that discusses the nature of picture making and perception. One paper presents a perceptual theory of pictorial representation in which cultural and historical options in styles of depiction that appear to be different are actually closely related perceptually. Another paper discusses pictorial functions and perceptual structures including pictorial representation, perceptual theory, flat canvass, and the deep world. One paper suggests that perception can be more a matter of information "make up" than "pick up." Light becomes somewhat informative and the eye, correspondingly, becomes less or more presumptive. Another paper notes that human vision is transformed by our modes of representation, that image formation can be essentially incomplete, false, or misleading (primarily as regards dramatic performance and pictorial representation). One paper makes three claims that: (1) the blind have untapped depiction abilities; (2) haptics, involving the sense of touch, have an intuitive sense of perspective; and (3) depiction is perceptual based on graphic elements and pictorial configurations. The collection is suitable for psychologists, physiologists, psychophysicists, and researchers in human perception or phenomenology.

This book considers computer vision to be an integral part of the artificial intelligence system. The core of the book is an analysis of possible approaches to the creation of artificial vision systems, which simulate human visual perception. Much attention is paid to the latest achievements in visual psychology and physiology, the description of the functional and structural organization of the human perception mechanism, the peculiarities of artistic perception and the expression of reality. Computer vision models based on these data are investigated. They include the processes of external data analysis, internal environmental model synthesis, and the generating of behavioristic responses based on external and internal models comparison. Computer vision system evolution resulting from environmental effects is also considered. A unique feature of this book is the authors' use of black and white, and colour prints of traditional and contemporary Russian art to illustrate their principal theses. In doing so, they introduce the reader to a particularly Russian view of the world.