For undergraduate or advanced undergraduate courses in Classical Natural Language Processing, Statistical Natural Language Processing, Speech Recognition, Computational Linguistics, and Human Language Processing. An explosion of Web-based language techniques, merging of distinct fields, availability of phone-based dialogue systems, and much more ...
A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental ...
"Learning OpenCV" puts you right in the middle of the rapidly expanding field of computer vision. Written by the creators of "OpenCV", the widely used free open-source library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on the data. ...
This textbook can be used for an undergraduate course in digital image processing and analysis, or an undergraduate/graduate course in computer vision. The updated version presents new sections on compression via JPEG and MPEG, fractals, fuzzy logic recognition, hidden Markov models, Kalman filters
This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. The book is unique in the sense of describing how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries, and it demonstrates the ...
Despite the availability of cheap, fast, accurate and usable eye trackers, there is still little information available on how to develop, implement and use these systems. This second edition of Andrew Duchowski's successful guide to these systems contains significant additional material on the topic and fills this gap in the market with this ...
This book is about the computer image, emphasising the 'how', but also addressing the 'whys' and 'wherefores' of this creation of the 20th century. Where did it come from? Where is it going? What is its importance? These questions cannot be answered without a knowledge of the technology itself, its past and its evolutionary forces. The three main ...
Senior/Graduate level courses on computer vision, robot vision and image processing in electrical and computer engineering, mathematics, and computer science departments, and an essential reference for researchers and scientists in the field of computer vision. An applied introduction to modern computer vision, focusing on a set of computational ...
This book brings together concepts and approaches from the fields of photogrammetry and computer vision. In particular, it examines techniques relating to quantitative image analysis, such as orientation, camera modelling, system calibration, self-calibration and error handling. The chapters have been contributed by experts in the relevant fields, ...
Bridges the gap between virtual reality and computer vision in manufacturing What will it take to make virtual manufacturing a reality? In this groundbreaking book, leading VR researchers reveal the latest findings in key areas that are driving the development of this revolutionary new technology. In addition to workcell management, real-time ...
Over the last forty years, researchers have made great strides in elucidating the laws of image formation, processing, and understanding by animals, humans, and machines. This book describes the state of knowledge in one subarea of vision, the geometric laws that relate different views of a scene. Geometry, one of the oldest branches of ...
These interconnected essays on three-dimensional visual object recognition present cutting-edge research by neuroscientific, cognitive and computational scientists of the field. Topics covered include: turning the perception of "two-tone" images into a method for understanding the nature of object representations in terms of surfaces and the ...
"Biometrics: Personal Identification in Networked Society" is a comprehensive and accessible source of state-of-the-art information on all existing and emerging biometrics: the science of automatically identifying individuals based on their physiological or behavior characteristics. In particular, the book covers: general principles and ideas of ...
Computer vision is becoming increasingly important in several industrial applications such as automated inspection, robotic manipulations and autonomous vehicle guidance. These tasks are performed in a 3-D world and it is imperative to gather reliable information on the 3-D structure of the scene. This book is about passive techniques for depth ...
"Find the design principles you need to move vision-based control out of the lab and into the real world. In this edited collection of state-of-the-art papers, contributors highly regarded in robust vision bring you the latest applications in the field. Whatever your industry - from space ventures to mobile surveillance - you will discover ...
In the last 40 years, machine vision has evolved into a mature field embracing a wide range of applications including surveillance, automated inspection, robot assembly, vehicle guidance, traffic monitoring and control, signature verification, biometric measurement, and analysis of remotely sensed images. While researchers and industry specialists ...
This book constitutes the refereed proceedings of the First International Workshop on Multiple Classifier Systems, MCS 2000, held in Cagliari, Italy in June 2000. The 33 revised full papers presented together with five invited papers were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on ...
Aimed at manufacturing managers and engineers looking for an introduction to computer vision and its potential, this book discusses the areas in which machine vision is being used, explains different types of machine vision hardware and software and summarizes research at several universities. The book's key chapter highlights the use of machine ...
Biometric recognition, or simply Biometrics, is a rapidly evolving field with applications ranging from accessing one's computer to gaining entry into a country. Biometric systems rely on the use of physical or behavioral traits, such as fingerprints, face, voice and hand geometry, to establish the identity of an individual. The deployment of ...
The problem of range and motion segmentation is of major importance in computer vision, image procession, and intelligent robotics. This edited volume explores several issues relating to parametric segmentation including robust operations, model selection criteria and automatic model selection, and 2D and 3D scene segmentation. Emphasis is placed ...
This book constitutes the refereed proceedings of the 8th European Conference on Genetic Programming, EuroGP 2005, held in Lausanne, Switzerland in March/April 2005.The 20 revised plenary papers and 14 revised poster papers were carefully reviewed and selected from 64 submissions. Some of the papers deal with foundational, theoretical, or ...
A description of the crusade to computerize realism, a search that connects computer science with cognitive science, perception, and the great historical traditions in Western art. Both a celebration of this new field and a mesmerizing primer on perception.
Featuring contributions from experts in the field of computer vision, this work focuses on learning techniques that are applied more or less directly to the signals provided by vision sensors. The emphasis is on low-level visual learning techniques that draw on results in the fields of statistics, pattern recognition and neural networks. This book ...
Computational vision deals with the underlying mathematical and computational models for how visual information is processed. Whether the processing is biological or machine, there are fundamental questions related to how the information is processed. How should information be represented? How should information be transduced in order to highlight ...
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