This book is both a reference for engineers and scientists and a teaching resource, featuring tutorial chapters and research papers on feature extraction. Until now there has been insufficient consideration of feature selection algorithms, no unified presentation of leading methods, and no systematic comparisons.
Focusing on feature extraction while also covering issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the authors have a clear and coherent approach that will appeal to a wide range of students and professionals. Ideal module text for courses in artificial intelligence, image processing and computer vision Essential reading for engineers and academics working in this cutting-edge field Supported by free software on a companion website
Whilst other books cover a broad range of topics, Feature Extraction and Image Processing takes one of the prime targets of applied computer vision, feature extraction, and uses it to provide an essential guide to the implementation of image processing and computer vision techniques. Acting as both a source of reference and a student text, the book explains techniques and fundamentals in a clear and concise manner and helps readers to develop working techniques, with usable code provided throughout. The new edition is updated throughout in line with developments in the field, and is revised to focus on mathematical programming in Matlab. Essential reading for engineers and students working in this cutting edge field Ideal module text and background reference for courses in image processing and computer vision
There is broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining to machine learning. Data preprocessing is an essential step in the knowledge discovery process for real-world applications. This book compiles contributions from many leading and active researchers in this growing field and paints a picture of the state-of-art techniques that can boost the capabilities of many existing data mining tools. The objective of this collection is to increase the awareness of the data mining community about the research of feature extraction, construction and selection, which are currently conducted mainly in isolation. This book is part of our endeavor to produce a contemporary overview of modern solutions, to create synergy among these seemingly different branches, and to pave the way for developing meta-systems and novel approaches. Even with today's advanced computer technologies, discovering knowledge from data can still be fiendishly hard due to the characteristics of the computer generated data. Feature extraction, construction and selection are a set of techniques that transform and simplify data so as to make data mining tasks easier. Feature construction and selection can be viewed as two sides of the representation problem.
This book is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the exemplar code of the algorithms." Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking, development of symmetry operators, LBP texture analysis, Adaboost, and a new appendix on color models. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended. Named a 2012 Notable Computer Book for Computing Methodologies by Computing Reviews Essential reading for engineers and students working in this cutting-edge field Ideal module text and background reference for courses in image processing and computer vision The only currently available text to concentrate on feature extraction with working implementation and worked through derivation
The advances in computing and networking have sparked an enormous interest in deploying automatic speech recognition on mobile devices and over communication networks. This book brings together academic researchers and industrial practitioners to address the issues in this emerging realm and presents the reader with a comprehensive introduction to the subject of speech recognition in devices and networks. It covers network, distributed and embedded speech recognition systems.
The first of its kind, this book reviews image processing tools and techniques including Independent Component Analysis, Mutual Information, Markov Random Field Models and Support Vector Machines. The book also explores a number of experimental examples based on a variety of remote sensors. The book will be useful to people involved in hyperspectral imaging research, as well as by remote-sensing data like geologists, hydrologists, environmental scientists, civil engineers and computer scientists.
Here is a collection of papers presented at the 11th On-line World Conference on Soft Computing in Industrial Applications, held in September-October 2006. This carefully edited book provides a comprehensive overview of recent advances in the industrial applications of soft computing and covers a wide range of application areas, including data analysis and data mining, computer graphics, intelligent control, systems, pattern recognition, classifiers, as well as modeling optimization.
Mobile robots require the ability to make decisions such as "go through the hedges" or "go around the brick wall." Mobile Robot Navigation with Intelligent Infrared Image Interpretation describes in detail an alternative to GPS navigation: a physics-based adaptive Bayesian pattern classification model that uses a passive thermal infrared imaging system to automatically characterize non-heat generating objects in unstructured outdoor environments for mobile robots. The resulting classification model complements an autonomous robot’s situational awareness by providing the ability to classify smaller structures commonly found in the immediate operational environment.
'...This book gives a fully comprehensive review of current research in the field...is essential reading for anyone looking for a review of the state of the art....' -Review from Vol. I Advancements in digital sensor technology, digital image analysis techniques, as well as computer software and hardware have brought together the fields of computer vision and photogrammetry, which are now converging towards sharing, to a great extent, objectives and algorithms. The potential for mutual benefits through the close collaboration and interaction of these two disciplines is great, as photogrammetric know-how can be aided by the most recent image analysis developments in computer vision, while modern quantitative photogrammetric approaches can support computer vision activities. Devising methodologies for automating the extraction of man-made objects(e.g. buildings, roads) from digital aerial or satellite imagery is an application where this cooperation and mutual support is already reaping benefits. The valuable spatial information collected using these interdisciplinary techniques is of improved qualitative and quantitative accuracy. This book offers a comprehensive selection of high-quality and in-depth contributions by experts from worldwide leading research institutions, treating theoretical as well as implementational issues, and representing the state-of-the-art on this subject among the photogrammetric and computer vision communities. These contributions were presented at a Monte Verità Workshop organised in May 1997, following a first Workshop on the same topics in April 1995. Series: Monte Verità Contents: General Topics and Scene Reconstruction An Overview of DARPA's Research Program in Automatic Population of Geospatial Databases/T.M. Strat, D. Climenson A Testbed for the Evaluation of Feature Extraction Techniques in a Time Constrained Environment/J.J. Pearson, L.A. Oddo The Role of Artificial Intelligence in the Reconstruction of Man-Made Objects from Aerial Images/F. Ade Scene Reconstruction Research - Towards an Automatic System/F. Stolle, A. Hanson, C. Jaynes, E. Riseman, H. Schultz Semantic Modelling of Man-Made Objects by Production Nets/U. Stilla, E. Michaelsen From Large-Scale DTM Extraction to Feature Extraction/J. Loodts Building Detection and Reconstruction 3-D Building Reconstruction with ARUBA: A Qualitative and Quantitative Evaluation/O. Henricsson, E. Baltsavias A System for Building Detection from Aerial Images/R. Nevatia, C. Lin, A. Huertas On the Reconstruction of Urban House Roofs from Aerial Images/D. Frere, M. Hendrickx, J. Vandekerckhove, T. Moons, L. Van Gool Image-Based Reconstruction of Informal Settlements/S. Mason, E. Baltsavias A Model Driven Approach to Extract Buildings from Multi-View Aerial Imagery/L. Spreeuwers, K. Schutte, Z. Houkes Automated Building Extraction from Digital Stereo Imagery/Z. Shi, R. Shibasaki, S. Murai Application of Semi-Automatic Building Acquisition/E. Guelch On the Integration of Object Modeling and Image Modeling in Automated Building Extraction from Aerial Images/V. Steinhage TOBAGO - A Topology Builder for the Automated Generation of Building Models/A. Gruen, H. Dan Crestlines Constribution to the Automatic Building Extraction/Y. Lechervy, C. Louis, O. Monga Recognizing Buildings in Aerial Images/F. Jung, B. Jedynak, D. Geman Above-Ground Objects in Urban Scenes from Medium Scale Aerial Imagery/O. Dissard, C. Baillard, H. Maître, O. Jamet Digital Surface Models for Building Extraction/U. Weidner Extracting Artificial Surface Objects from Airborne Laser Scanner Data/C. Hug Interpretation of Urban Surface Models using 2D Building Information/N. Haala, C. Brenner Least Squares Matching for Three Dimensional Building Reconstruction/H. Wiman Assessment of the Effects of Resolution on Automated DEM and Building Extraction/J.P. Muller, C. Ourzik, T. Kim, I. Dowman Road Extraction The Role of Grouping for Road Extraction/C. Steger, H. Mayer, B. Radig Artificial Intelligence in 3-D Feature Extraction/J.C. Trinder, Y. Wang, A. Sowmya, M. Palhang Updating Road Maps by Contextual Reasoning/G. Vosselman, M. de Gunst Fast Robust Tracking of Curvy Partially Occluded Roads in Clutter in Aerial Images/M. Barzohar, M. Cohen, I. Ziskind, D.B. Cooper Linear Feature Extraction with 3-D LSB-Snakes/A. Gruen, H. Li Context-Supported Road Extraction/A. Baumgartner, W. Eckstein, H. Mayer, C. Heipke, H. Ebner Map/GIS-Based Methods Three-Dimensional Description of Dense Urban Areas using Maps and Aerial Images/M. Roux, H. Maître MOSES: A Structural Approach to Aerial Image Understanding/F. Quint An Approach for the Extraction of Settlement Areas/K. -J. Schilling, T. Vogtle Extraction of Polygonal Features from Satellite Images for Automatic Registration: The ARCHANGEL Project/I. Dowman, R. Roskone Visualisation A Set of Visualization Data Needs in Urban Environmental Planning and Design for Photogrammetric Data/J. Danahy A Virtual Reality Model of a Major International Airport/W. Schickler Managing Large 3D Urban Database Contents Supporting Phototexture and Levels of Detail/M. Gruber, M. Kofler, F. Leberl List of Workshop Participants Author Index
19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2006, Annecy, France, June 27-30, 2006, Proceedings
Author: Moonis Ali
Publisher: Springer Science & Business Media
This book constitutes the refereed proceedings of the 19th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2006, held in Annecy, France, June 2006. The book presents 134 revised full papers together with 3 invited contributions, organized in topical sections on multi-agent systems, decision-support, genetic algorithms, data-mining and knowledge discovery, fuzzy logic, knowledge engineering, machine learning, speech recognition, systems for real life applications, and more.
International Conference On Computer Analysis Of I
10th International Conference, CAIP 2003, Groningen, The Netherlands, August 25-27, 2003, Proceedings
Author: International Conference On Computer Analysis Of I
Publisher: Springer Science & Business Media
This book constitutes the refereed proceedings of the 10th International Conference on Computer Analysis of Images and Patterns, CAIP 2003, held in Groningen, The Netherlands in August 2003. The 94 revised papers presented were carefully reviewed and selected from 160 submissions. The papers are organized in topical sections on analysis and understanding, video analysis, segmentation, shape, classification, face recognition, interpolation and spatial transformations, and filtering.
The Radial Basis Function (RBF) neural network has gained in popularity over recent years because of its rapid training and its desirable properties in classification and functional approximation applications. RBF network research has focused on enhanced training algorithms and variations on the basic architecture to improve the performance of the network. In addition, the RBF network is proving to be a valuable tool in a diverse range of application areas, for example, robotics, biomedical engineering, and the financial sector. The two volumes provide a comprehensive survey of the latest developments in this area. Volume 2 contains a wide range of applications in the laboratory and case studies describing current industrial use. Both volumes will prove extremely useful to practitioners in the field, engineers, reserachers, students and technically accomplished managers.
A major new professional reference work on fingerprint security systems and technology from leading international researchers in the field. Handbook provides authoritative and comprehensive coverage of all major topics, concepts, and methods for fingerprint security systems. This unique reference work is an absolutely essential resource for all biometric security professionals, researchers, and systems administrators.
International Conference ICIAR 2004, Porto, Portugal, September 29 - October 1, 2004, Proceedings
Author: Aurélio Campilho
Publisher: Springer Science & Business Media
ICIAR 2004, the International Conference on Image Analysis and Recognition, was the ?rst ICIAR conference, and was held in Porto, Portugal. ICIAR will be organized annually, and will alternate between Europe and North America. ICIAR 2005 will take place in Toronto, Ontario, Canada. The idea of o?ering these conferences came as a result of discussion between researchers in Portugal and Canada to encourage collaboration and exchange, mainly between these two countries, but also with the open participation of other countries, addressing recent advances in theory, methodology and applications. The response to the call for papers for ICIAR 2004 was very positive. From 316 full papers submitted, 210 were accepted (97 oral presentations, and 113 - sters). The review process was carried out by the Program Committee members and other reviewers; all are experts in various image analysis and recognition areas. Each paper was reviewed by at least two reviewing parties. The high q- lity of the papers in these proceedings is attributed ?rst to the authors, and second to the quality of the reviews provided by the experts. We would like to thank the authors for responding to our call, and we wholeheartedly thank the reviewers for their excellent work in such a short amount of time. We are espe- ally indebted to the Program Committee for their e?orts that allowed us to set up this publication. We were very pleased to be able to include in the conference, Prof. Murat KuntfromtheSwissFederalInstituteofTechnology,andProf. Mario ́ Figueiredo, oftheInstitutoSuperiorT ́ ecnico,inPortugal.