Computer vision

This book provides a comprehensive introduction to the latest advances in the mathematical theory and computational tools for modeling high-dimensional data drawn from one or multiple low-dimensional subspaces (or manifolds) and potentially corrupted by noise, gross errors, or outliers.

Image Correlation for Shape, Motion and Deformation Measurements provides a comprehensive overview of data extraction through image analysis.

Biometric recognition, or simply biometrics, is the science of establishing the identity of a person based on physical or behavioral attributes.

Multimedia Content Analysis: Theory and Applications covers the latest in multimedia content analysis and applications based on such analysis.

The recent development of intelligent surveillance systems has captured the interest of both academic research labs and industry.

This richly illustrated book introduces the reader to a newly developed theory in Computer Vision yielding elementary techniques to analyze digital images.

Currently there is a gap between the research conducted in computer vision and robotics communities.

A large number of cultural heritage objects around the world are deteriorating or being destroyed due to the work of natural disasters, such as earthquakes and floods, and human-inflicted destruction, such as war and vandalism.

A wide variety of processes occur on multiple scales, either naturally or as a consequence of measurement.

Biometrics is becoming increasingly common in establishments that require high security such as state security and financial sectors.

This book focuses on variational methods in imaging science.

Biometrics is a rapidly evolving field with applications ranging from accessing one's computer to gaining entry into a country.

Traditionally,signalprocessingtechniqueslayatthefoundationofmultimedia data processing and analysis.

Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches introduces engineers and researchers to the field of nonlinear adaptive system identification.

The breakthrough idea of parallel coordinates has enchanted many people with its cleverness and power.

With this third edition of Open Source GIS: A GRASS GIS Approach, we enter the new era of GRASS6, the first release that includes substantial new code developed by the International GRASS Development Team.

Partial differential equations (PDEs) and variational methods were introduced into image processing about fifteen years ago.

Methods of dimensionality reduction provide a way to understand and visualize the structure of complex data sets.

One of the challenges for computational intelligence and biometrics is to understand how people process and recognize faces and to develop automated and reliable face recognition systems.

Multimedia Database Retrieval: A Human-Centered Approach presents thelatest development in user-centered methods and the state-of-the-art invisual media retrieval.

The 11 th IFIP International Conference on Very Large Scale Integration, in Montpellier, France, December 3-5,2001, was a great success.

Boundary Element Methods (BEM) play an important role in modern numerical computations in the applied and engineering sciences.

Image-Based Rendering examines the theory, practice, and applications associated with image-based rendering and modeling.

Human Identification Based on Gait is the first book to address gait as a biometric.

Face recognition has been actively studied over the past decade and continues to be a big research challenge.

Space, structure, and randomness: these are the three key concepts underlying Georges Matheron's scientific work.

Reliable human authentication schemes are of paramount importance in our highly networked society.

Hyperspectral Data Compression provides a survey of recent results in the field of compression of remote sensed 3D data, with a particular interest in hyperspectral imagery.

Biometric user authentication techniques evoke an enormous interest by science, industry and society.

Many animators and designers would like to supplement their Maya learning with a less-technical, more helpful book.

Motion-Free Super-Resolution is a compilation of very recent work on various methods of generating super-resolution (SR) images from a set of low-resolution images.

Although the history of computer-aided face recognition stretches back to the 1960s, automatic face recognition remains an unsolved problem and still offers a great challenge to computer-vision and pattern recognition researchers.

The 2nd edition of this book adds 8 new contributors to reflect a modern cutting edge approach to genomics.

Embedded Image Processing on the TMS320C6000(TM) DSP: Examples in Code Composer Studio(TM) and MATLAB focuses on efficient implementations of advanced image processing algorithms for resource-constrained embedded DSP systems.

Computer graphics games and animations have been popular for over a decade, and personal computers have now evolved to support real-time, realistic-looking interactive games.

Evolutionary computation is becoming increasingly important for computer vision and pattern recognition and provides a systematic way of synthesis and analysis of object detection and recognition systems.

Image and Video Encryption provides a unified overview of techniques for encryption of images and video data.

Medical imaging has been transformed over the past 30 years by the advent of computerized tomography (CT), magnetic resonance imaging (MRI), and various advances in x-ray and ultrasonic techniques.

Inverse Problems is a monograph which contains a self-contained presentation of the theory of several major inverse problems and the closely related results from the theory of ill-posed problems.

Multimodal Video Characterization and Summarization is a valuable research tool for both professionals and academicians working in the video field.

Ambient Intelligence (AmI) is an integrating technology for supporting a pervasive and transparent infrastructure for implementing smart environments.

Scope, Aims, and Audiences This book, Level Set Methods and Dynamic Implicit Surfaces is designed to serve two purposes: Parts I and II introduce the reader to implicit surfaces and level set methods.

Overview At the beginning of 1999, Springer-Verlag published the book Open Geo- try OpenGL +Advanced Geometry.

Many scientists in different disciplines realize the power of graphics, but are also bewildered by the complex implementations of a graphics system and numerous graphics tools.

Data compression is one of the most important fields and tools in modern computing.

Introduction Imageprocessing,computervisionandcomputergraphicsarenowestablished - search areas.

Partial differential equations and variational methods were introduced into image processing about 15 years ago, and intensive research has been carried out since then.

Implicit definition and description of geometric objects and surfaces plays a critical role in the appearance and manipulation of computer graphics.

Overview Biometric recognition refers to the use of distinctive physiological and behavioral character- tics (e.

The human visual system as a functional unit including the eyes, the nervous system, and the corresponding parts of the brain certainly ranks among the most important means of human information processing.