Multicomputer Vision is a collection of papers and discussions presented at the 8th Workshop on Multicomputers, held in Rome, Italy on June 2-5, 1987. Contributors present multicomputer algorithms for image processing, evaluation and suggestions on multicomputer systems, and new designs in advanced architectures for computer vision. Separating 12 papers into chapters, this book first describes a pyramidal algorithm for image segmentation based on the definition of the "bimean of a population. It then examines the use of Polymorphic Torus architecture to yield positive results in the computation of Hough Transform through executing mesh and tree algorithms. The succeeding papers present the five-level quad-tree pyramid algorithm based on chips from the MPP machine and the algorithm databases required for scheduling and reconfiguration decisions based on the user's task definition. Other chapters oriented towards the evaluation of multicomputer systems are also provided. These chapters include discussions on multi-processor architectures based on perceptual tasks, the advantages of fine grain associative string structure for general purpose computer vision system, and the use of identical single processor elements for comparison between processor arrays and pipeline computers. The book also contains papers oriented on the design features of new multiprocessor architectures. These papers discuss the memory limitations of parallel machines and the physical realization of a one-dimensional array of 128 to 1024 identical processors. This book provides an informal frame of reference to researchers who are interested in the design and development of algorithms, and architectures or languages of multiprocessor systems.

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 of two) version of the plane underneath: these processors are horizontally interconnected (within a plane) and vertically connected with "fathers" (on top planes) and "children" on the plane below. This arrangement has a number of interesting features, all of which were amply discussed in our Workshop including the cellular array and hypercube versions of pyramids. A number of projects (in different parts of the world) are reported as well as some interesting applications in computer vision, tactile systems and numerical calculations.

This book constitutes the refereed proceedings of the Third International Conference on Computer Vision Systems, ICVS 2003, held in Graz, Austria, in April 2003. The 51 revised full papers presented were carefully reviewed and selected from 109 submissions. The papers are organized in topical sections on cognitive vision, philosophical issues in cognitive vision, cognitive vision and applications, computer vision architectures, performance evaluation, implementation methods, architecture and classical computer vision, and video annotation.

A machine vision system should be able to analyze images and produce descriptions of what it "sees". The descriptions should capture the aspects of the objects being imaged and be useful for accomplishing some specific tasks. In this volume a number of subjects are discussed. They include theoretical aspects which focus on shape analysis, special architectures, 3-D image decomposition, inspection by machine vision, and others. Applications include geophysical image analysis, robotics, sparse image understanding, biomedical applications. An ample survey of the present industrial applications is also provided.

"The main theme of the 1988 workshop, the 18th in this DARPA sponsored series of meetings on Image Understanding and Computer Vision, is to cover new vision techniques in prototype vision systems for manufacturing, navigation, cartography, and photointerpretation." P. v.

This book discusses the design of multi-camera systems and their application to fields such as the virtual reality, gaming, film industry, medicine, automotive industry, drones, etc. The authors cover the basics of image formation, algorithms for stitching a panoramic image from multiple cameras, and multiple real-time hardware system architectures, in order to have panoramic videos. Several specific applications of multi-camera systems are presented, such as depth estimation, high dynamic range imaging, and medical imaging.