Pattern recognition

It is both an honor and a pleasure to hold the 27th Annual Meeting of the German Association for Pattern Recognition, DAGM 2005, at the Vienna U- versity of Technology, Austria, organized by the Pattern Recognition and Image Processing (PRIP) Group.

This book covers a comprehensive approach to the development and application of a suite of novel algorithms for practical approximate knowledge-based inference.

This book covers a comprehensive approach to the development and application of a suite of novel algorithms for practical approximate knowledge-based inference.

Machine vision technology has revolutionised the process of automated inspection in manufacturing.

Rapid development of computer hardware has enabled usage of automatic object recognition in an increasing number of applications, ranging from industrial image processing to medical applications, as well as tasks triggered by the widespread use of the internet.

Pattern recognition basically deals with the recognition of patterns, shapes, objects, things in images.

Biometrics, the science of using physical traits to identify individuals, is playing an increasing role in our security-conscious society and across the globe.

The objects displayed on a table can take multiple forms.

A guide on the use of SVMs in pattern classification, including a rigorous performance comparison of classifiers and regressors.

Consumer electronics (CE) devices, providing multimedia entertainment and enabling communication, have become ubiquitous in daily life.

Mobile robots require the ability to make decisions such as "e;go through the hedges"e; or "e;go around the brick wall.

The development of technologies for the identi?

Why are We Writing This Book?

Protecting Privacy in Video Surveillance offers the state of the art from leading researchers and experts in the field.

Information theory has proved to be effective for solving many computer vision and pattern recognition (CVPR) problems (such as image matching, clustering and segmentation, saliency detection, feature selection, optimal classifier design and many others).

In the last decade the remarkable advances in computing and networking have sparked an enormous interest in deploying automatic speech recognition in devices and networks, and the trend is accelerating.

The goal of image interpretation is to convert raw image data into me- ingful information.

Biometrics deal with recognition of individuals based on their physiological or behavioural characteristics.

A rigorous but accessible treatment of the subject intertwining theoretical techniques with hands-on laboratory instruction and divided into three parts, this book covers various aspects of the digital signal processing (DSP) "e;problem"e;.

Affective information processing assigns computers the human-like capabilities of observation, interpretation and generation of affect features.

As a graduate student at Ohio State in the mid-1970s, I inherited a unique c- puter vision laboratory from the doctoral research of previous students.

Throughout much of machine vision's early years the infrared imagery has suffered from return on investment despite its advantages over visual counterparts.

Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation.

"e;Sustainability"e; is often used in a qualitative sense.

In this book, all the major and frontier topics in the field of document analysis are brought together into a single volume creating a unique reference source.

This revised and updated text presents the computational and mathematical procedures underlying data collection, image reconstruction, and image display in computerized tomography.

Boundary representation is the principal solid modelling method used in modern CAD/CAM systems.

The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering.

There has been a growing interest in crowd simulation particularly in the commercial sector where it is used in security, defence, entertainment and the movie industry.

Interactive curve modeling techniques and their applications are extremely useful inanumber ofacademicandindustrialsettings.

Biometrics technology continues to stride forward with its wider acceptance and its perceived need in various new security facets of modern society.

Self-organization is a multi-faceted phenomenon, present in many fields, operating at multiple scales, and performs diverse roles.

Noisy data appear very naturally in applications where the authentication is based on physical identifiers.

Conventional model-based data processing methods are computationally expensive and require experts' knowledge for the modelling of a system.

The Semantic Web is a vision that has sparked a wide-ranging enthusiasm for a new generation of the Web.

The growth in the amount of data collected and generated has exploded in recent times with the widespread automation of various day-to-day activities, advances in high-level scienti?

This work summarizes the theoretical and algorithmic basis of optimized pr- abilistic advising.

I was shocked to see a student's report on performance comparisons between support vector machines (SVMs) and fuzzy classi?

This book is the outcome of a decade's research into a speci?

Correcting the Great Mistake People often mistake one thing for another.

Recently, there has been a dramatic increase in the use of sensors in the non-visible bands.

The use of computers to recognize humans from physical and behavioral traits dates back to the digital computer evolution of the 1960s.

Machines capable of automatic pattern recognition have many fascinating uses in science & engineering as well as in our daily lives.

The 8-volume set, comprising the LNCS books 13801 until 13809, constitutes the refereed proceedings of 38 out of the 60 workshops held at the 17th European Conference on Computer Vision, ECCV 2022.

This book constitutes the refereed proceedings of CVM 2024, the 12th International Conference on Computational Visual Media, held in Wellington, New Zealand, in April 2024.

This book constitutes the revised selected papers from the 30th International Workshop on Frontiers of Computer Vision, IW-FCV 2024, held in Tokyo, Japan, in February 19-21, 2024.