This book constitutes the thoroughly refereed post-conference proceedings of the International Dagstuhl-Seminar on Efficient Algorithms for Global Optimization Methods in Computer Vision, held in Dags ...
This book brings together a wealth of experiences from leading researchers in the field of Embedded Computer vision, from both academic and industrial research labs. It also looks ahead, providing a sense of what applications can be expected in the future.
Opening with a detailed review of techniques for selective encryption, this book examines algorithms that combine encryption and compression. Presents a selection of specific examples of the design and implementation of secure embedded multimedia systems.
Authored by Google research director Dr. Edward Chang, this book has the inside track on a fast-moving sector. Covering knowledge representation, semantic analysis, and scalability issues in one volume it is a must-read for both professionals and students.
This revised and updated edition presents the computational and mathematical procedures underlying data collection, image reconstruction, and image display in computerized tomography. New topics include fast calculation of a ray sum in a digitized image and the task-oriented comparison of reconstruction algorithm performance.
Self-contained, accessible, and mathematically precise, this book serves as an introduction to the field of 3-D digital image processing, providing information that can be used immediately in practical algorithms for the analysis of 3-D data sets.
This book presents a thorough overview of fusion in computer vision, from an interdisciplinary and multi-application viewpoint, describing successful approaches, evaluated in the context of internatio ...
Modern image processing techniques are based on multiresolution geometrical methods of image representation. These methods are efficient in sparse approximation of digital images. There is a wide fami ...
Practical in approach, this book describes a range of common imaging techniques, reconstruction techniques and image artifacts, reviews image enhancement methods, discusses image transfer and archiving, and includes exercises and a glossary of abbreviations.
This detailed overview of Arabic character recognition technology covers pre-processing and feature extraction; HMM-based methods; evaluation of OCR systems; and applications of recognition technology, from historical manuscripts to online Arabic recognition.
This practical guide provides a comprehensive overview of Euclidean structure and motion recovery, with a specific focus on factorization-based algorithms. The text discusses the latest research in the field and presents new algorithms developed by the authors.