Image Processing Technologies: Algorithms, Sensors, and Applications (Signal Processing and Communications)

Showcasing the most influential developments, experiments, and architectures impacting the digital, surveillance, automotive, industrial, and medical sciences, this text/reference tracks the evolution and advancement of CVIP technologies - examining methods and algorithms for image analysis, optimization, segmentation, and restoration. Passive range sensing techniques: depth from images / Naokazu Yokoya, Takeshi Shakunaga, and Masayuki Kanbara Optimization approaches in computer vision and image processing / Katsuhiko Sakaue, Akira Amano, and Naokazu Yokoya Motion and shape from sequences of images under feature correspondences / Jun Fujiki Compression and represenation of 3-D images / Takeshi Naemura, Masahide Kaneko, and Hiroshi Harashima Omnidirectional sensing and its applications / Yasushi Yagi Computational sensors: vision VLSI / Kiyoharu Aizawa Processing and recognition of face images and its applications / Masahide Kaneko and Osamu Hasegawa Document analysis and recognition / Toyohide Watanabe Recent progress in medical image processing / Junichiro Toriwaki, Kensaku Mori, and Jun-ichi Hasegawa Recent progress in mdecial image processing / Image processing for intelligent transport systems / Shinji Ozawa. Aizawa (Departments of Electrical Engineering and Frontier Informatics, University of Tokyo, Japan) and contributors in informatics, imaging science, and electronic engineering describe the state of the art of image processing technologies from various points of view, focusing on sensing, algorithms, and applications. Early chapters describe image processing methodologies related to three- dimensional imaging, and later chapters examine sensors for advanced image processing systems and describe applications in facial image processing, human-machine interaction, document analysis and recognition, medical image processing, and intelligent transport systems. All 10 chapters were originally published in 1999 as a special issue of survey papers on image processing in the journal IEICE Transactions on Information and Systems. Annotation : 2004 Book News, Inc., Portland, OR (booknews.com) Series Introduction......Page 6 Preface......Page 8 Contents......Page 10 Contributors......Page 12 Passive Range Sensing Techniques: Depth from Images......Page 14 Optimization Approaches in Computer Vision and Image Processing......Page 40 Motion and Shape from Sequences of Images Under Feature Correspondences......Page 68 Compression and Representation of 3-D Images......Page 103 Omnidirectional Sensing and Its Applications......Page 129 Computational Sensors : Vision VLSI......Page 155 Processing and Recognition of Face Images and Its Applications......Page 175 Document Analysis and Recognition......Page 225 Recent Progress in Medical Image Processing......Page 246 Image Processing for Intelligent Transport Systems......Page 271 Index......Page 290

Showcasing the most influential developments, experiments, and architectures impacting the digital, surveillance, automotive, industrial, and medical sciences, Image Processing Technologies tracks the evolution and advancement of computer vision and image processing (CVIP) technologies, examining methods and algorithms for image analysis, optimization, segmentation, and restoration. It focuses on recent approaches and techniques in CVIP applications development and explores various coding methods for individual types of 3-D images. This text/reference brings researchers and specialists up-to-date on the latest innovations affecting multiple image processing environments.

Acquisition of three-dimensional (3-D) information of a real-world scene from two-dimensional images has been one of the most important issues in computer vision and image understanding in the last two decades.