Cmptr Analysis Perception Visual Signals

Introduces the problem of building computers that perceive real-world scenes & objects.

Computer Science and Applied Mathematics: Algorithm-Structured Computer Arrays and Networks: Architectures and Processes for Images, Percepts, Models, Information examines the parallel-array, pipeline, and other network multi-computers. This book describes and explores arrays and networks, those built, being designed, or proposed. The problems of developing higher-level languages for systems and designing algorithm, program, data flow, and computer structure are also discussed. This text likewise describes several sequences of successively more general attempts to combine the power of arrays with the flexibility of networks into structures that reflect and embody the flow of information through their processors. This publication is useful as a textbook or auxiliary textbook for students taking courses on computer architecture, parallel computers, arrays and networks, and image processing and pattern recognition.

This book presents 17 selected papers from the 4th International Graphonomics Society Conference, held at the University of Trondheim (Norway) in July 1989. It focusses on different aspects of automatic processing of handwriting by computer. The book is divided into three sections. The first one surveys the research works done on automatic signature verification over the last 25 years. The second section deals with problems related to the design of on-line cursive script recognition and the implementation of this technology into an electronic pen pad. The third section focusses on the integration of contextual knowledge in these systems. Contents:Identity Verification from Automatic Signature Processing:Designing an Automatic Signature Verifier: Problem Definition and System Description (R Plamondon & G Lorette)Automatic Processing of Signature Images: Static Techniques and Methods (R Plamondon et al.)On-Line Symbols and Script Recognition:The PAD (Pen and Display) — A Demonstrator for the Electronic Paper Project (C A Higgins & R J Duckworth)A Prediction-Verification Strategy for Automatic Recognition of Cursive Handwriting (H Oulhadj et al.)Context and Knowledge:The Use of Orthographic Information for Script Recognition (C J Wells et al.)Automatic Perception of the Structure of Handwritten Mathematical Expressions (C Faure & Z-X Wang)and other papers Readership: Computer scientists, engineers and graphonomists. keywords:Signature Verification;Signature Images;Identity Verification;Digitizer Performance;Stroke Segmentation;On-Line Handwriting-Recognition;Prediction-Verification Strategy;Gesture Based Text and Editor;Pitman's Handwritten Shorthand;Script Recognition;Dictionary Search Technique;Mathematical Expressions;Chinese Characters

At the fascinating frontiers of neurobiology, mathematics and psychophysics, this book addresses the problem of human and computer vision on the basis of cognitive modeling. After recalling the physics of light and its transformation through media and optics, Hrault presents the principles of the primate's visual system in terms of anatomy and functionality. Then, the neuronal circuitry of the retina is analyzed in terms of spatio?temporal filtering. This basic model is extended to the concept of neuromorphic circuits for motion processing and to the processing of color in the retina. For more in-depth studies, the adaptive non-linear properties of the photoreceptors and of ganglion cells are addressed, exhibiting all the power of the retinal pre-processing of images as a system of information cleaning suitable for further cortical processing. As a target of retinal information, the primary visual area is presented as a bank of filters able to extract valuable descriptors of images, suitable for categorization and recognition and also for local information extraction such as saliency and perspective. All along the book, many comparisons between the models and human perception are discussed as well as detailed applications to computer vision.

This edited book is one of the first to describe how Autonomous Virtual Humans and Social Robots can interact with real people and be aware of the surrounding world using machine learning and AI. It includes: · Many algorithms related to the awareness of the surrounding world such as the recognition of objects, the interpretation of various sources of data provided by cameras, microphones, and wearable sensors · Deep Learning Methods to provide solutions to Visual Attention, Quality Perception, and Visual Material Recognition · How Face Recognition and Speech Synthesis will replace the traditional mouse and keyboard interfaces · Semantic modeling and rendering and shows how these domains play an important role in Virtual and Augmented Reality Applications. Intelligent Scene Modeling and Human-Computer Interaction explains how to understand the composition and build very complex scenes and emphasizes the semantic methods needed to have an intelligent interaction with them. It offers readers a unique opportunity to comprehend the rapid changes and continuous development in the fields of Intelligent Scene Modeling.