Computer vision

This in-depth tutorial for students, researchers, and developers covers foundations, plus applications ranging from search to multimedia.

Self-contained presentation of multivariate approximation from classical linear approximation to contemporary nonlinear approximation.

A modern look at state estimation, targeted at students and practitioners of robotics, with emphasis on three-dimensional applications.

A modern look at state estimation, targeted at students and practitioners of robotics, with emphasis on three-dimensional applications.

This book presents a comprehensive study of different tools and techniques available to perform network forensics.

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning.

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning.

Most intermediate-level machine learning books focus on how to optimize models by increasing accuracy or decreasing prediction error.

Most intermediate-level machine learning books focus on how to optimize models by increasing accuracy or decreasing prediction error.

Unified Signal Theory is an indispensible textbook dealing with the theory of deterministic signals; a topic of fundamental interest to graduates and senior undergraduates in the areas of information engineering (telecommunications, control, systems theory and electronics), astronomy, oceanography, earth science, biology and medicine.

The use of computer vision systems to control manufacturing processes and product quality has become increasingly important in food processing.

We live in a three-dimensional world.

We live in a three-dimensional world.

Sampling, wavelets, and tomography are three active areas of contemporary mathematics sharing common roots that lie at the heart of harmonic and Fourier analysis.

Advances in Discrete Tomography and Its Applications is a unified presentation of new methods, algorithms, and select applications that are the foundations of multidimensional image reconstruction by discrete tomographic methods.

Computational Knowledge Vision: The First Footprints presents a novel, advanced framework which combines structuralized knowledge and visual models.

The use of computer vision systems to control manufacturing processes and product quality has become increasingly important in food processing.

"e;This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised.

"e;This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised.

Algorithms for Computer Algebra is the first comprehensive textbook to be published on the topic of computational symbolic mathematics.

A 2004 introduction to machine vision that includes many programming exercises.

This 1996 book describes an exciting theoretical paradigm for visual perception based on experimental and computational insights.

A unique multidisciplinary perspective on the problem of visual object categorization.

How to reconstruct scenes from images using geometry and algebra, with applications to computer vision.

A review of the background material needed for correlation pattern recognition for graduate students and practitioners.

Video Tracking provides a comprehensive treatment of the fundamental aspects of algorithm and application development for the task of estimating, over time, the position of objects of interest seen through cameras.

Computer vision encompasses the construction of integrated vision systems and the application of vision to problems of real-world importance.

Although it is now possible to integrate many millions of transistors on a single chip, traditional digital circuit technology is now reaching its limits, facing problems of cost and technical efficiency when scaled down to ever-smaller feature sizes.

The 1985 Amsterdam conference brought together researchers active in pattern recognition methodology and the development of practical applications.

The SECCHI A and B instrument suites (Howard et al.

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.

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.