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A Pyramid Framework for Early Vision
Biological visual systems employ massively parallel processing to perform real-world visual tasks in real time. A key to this remarkable performance seems to be that biological systems construct representations of their visual image data at multiple scales. A Pyramid Framework for Early Vision describes a multiscale, or `pyramid', approach to vision, including its theoretical foundations, a set of pyramid-based modules for image processing, object detection, texture discrimination, contour detection and processing, feature detection and description, and motion detection and tracking. It also shows how these modules can be implemented very efficiently on hypercube-connected processor networks. A Pyramid Framework for Early Vision is intended for both students of vision and vision system designers; it provides a general approach to vision systems design as well as a set of robust, efficient vision modules.
Parallel Image Analysis And Processing
This review volume contains a selection of papers by leading experts in the areas of Parallel Image Analysis, 2-D, 3-D Grammars and Automata and Neural Nets and Learning.
Pyramidal Systems for Computer Vision
This book contains the proceedings of the NATO Advanced Research Workshop held in Maratea (Italy), May 5-9, 1986 on Pyramidal Systems for Image Processing and Computer Vision. We had 40 participants from 11 countries playing an active part in the workshop and all the leaders of groups that have produced a prototype pyramid machine or a design for such a machine were present. Within the wide field of parallel architectures for image processing a new area was recently born and is growing healthily: the area of pyramidally structured multiprocessing systems. Essentially, the processors are arranged in planes (from a base to an apex) each one of which is generally a reduced (usually by a power o...
Multicomputers and Image Processing
Multicomputers and Image Processing: Algorithms and Programs is the second of a set presenting papers from the third meeting held in Madison, Wisconsin on May 27-30, 1981. The workshop explores the large and powerful multicomputer arrays and networks, with particular emphasis on the related aspects of developing algorithms and programs for multicomputer architectures. Separating 33 papers into chapters, this book reflects the three major aspects of the problem: user algorithms and programs; higher level languages; and multicomputer architectures. The first chapters present specific, larger structure, as well as whole program algorithms and their respective applications. Other chapters descri...
Visual Languages
This book is intended as both an introduction to the state-of-the-art in visual languages, as well as an exposition of the frontiers of research in advanced visual languages. It is for computer scientists, computer engi neers, information scientists, application programmers, and technical managers responsible for software development projects who are inter ested in the methodology and manifold applications of visual languages and visual programming. The contents of this book are drawn from invited papers, as well as selected papers from two workshops: the 1985 IEEE Workshop on Lan guages for Automation-Cognitive Aspects in Information Processing, which was held in Mallorca, Spain, June 28-30...
Berkshire Encyclopedia of Human-computer Interaction
Presents a collection of articles on human-computer interaction, covering such topics as applications, methods, hardware, and computers and society.
Pattern Recognition and Artificial Intelligence
Pattern Recognition and Artificial Intelligence contains the proceedings of the Joint Workshop on Pattern Recognition and Artificial Intelligence held in Hyannis, Massachusetts, on June 1-3, 1976. The papers explore developments in pattern recognition and artificial intelligence and cover topics ranging from scene analysis and data structure to syntactic methods, biomedicine, speech recognition, game-playing programs, and computer graphics. Grammar inference methods, image segmentation and interpretation, and relational databases are also discussed. This book is comprised of 29 chapters and begins with a description of a data structure that can learn simple programs from training samples. Th...
Design Strategies for Reimagining the City
Design Strategies for Reimagining the City is situated between projective geometry, optical science and architectural design. It draws together seemingly unrelated fields in a series of new digital design tools and techniques underpinned by tested prototypes. The book reveals how the relationship between architectural design and the ubiquitous urban camera can be used to question established structures of control and ownership inherent within the visual model of the Western canon. Using key moments from the broad trajectory of historical and contemporary representational mechanisms and techniques, it describes the image’s impact on city form from the inception of linear perspective geometr...
Building Neural Networks
Organized by application areas, rather than by specific network architectures or learning algorithms, Building Neural Networks shows why certain networks are more suitable than others for solving specific kinds of problems. Skapura also reviews principles of neural information processing and furnishes an operations summary of the most popular neural-network processing models.
Higher Order Logic Theorem Proving and Its Applications
This book constitutes the proceedings of the 8th International Conference on Higher Order Logic Theorem Proving and Its Applications, held in Aspen Grove, Utah, USA in September 1995. The 26 papers selected by the program committee for inclusion in this volume document the advances in the field achieved since the predecessor conference. The papers presented fall into three general categories: representation of formalisms in higher order logic; applications of mechanized higher order logic; and enhancements to the HOL and other theorem proving systems.
