Key Features Bridges the gap between theory and practical applications Covers modern concepts in computer vision as well as modern developments in imaging sensor technology Presents a unique interdisciplinary approach covering different areas of modern science An accompanying CD-ROM provides full text with hyperlinks for quick searching and browsing along with reference material, interactive software components, code examples, image material, full-color figures, and references to Internet sources Description Based on the highly successful 3-volume reference Handbook of Computer Vision and Applications , this concise edition covers in a single volume the entire spectrum of computer vision ranging form the imaging process to high-end algorithms and applications. This book consists of three parts, including an application gallery, and is accompanied by an interactive CD-ROM. Readership Graduate students, researchers, and engineers in the areas of computer vision and robotics. Author Information Edited by Bernd Jahne , University of Heidelberg, Germany Table of ContentsPreface. Contributors. B. Jahne , Introduction. Sensors and Imaging . H. Haubecker ,Radiation and Illumination. P. Geibler ,Imaging Optics. H. Haubecker ,Radiometry of Imaging. P. Seitz ,Solid-State Image Sensing. R. Godding , Geometric Calibration of Digital Imaging Systems. R. Schwarte, G. Hausler, R.W. Malz , Three-Dimensional Imaging Techniques. Signal Processing and Pattern Recognition . B. Jahne , Representation of Multidimensional Signals. B. Jahne , Neighborhood Operators. H. Haubecker, H. Spies , Motion. P. Geibler, T. Dierig, H.A. Mallot , Three-Dimensional Imaging Algorithms. J. Weickert , Design of Nonlinear Diffusion Filters. C. Schnorr , Variational Adaptive Smoothing and Segmentation. P. Soille , Morphological Operators. J. Hornegger, D. Paulus, H. Niemann ,Probabilistic Modeling in Computer Vision. H. Haubecker, H.R. Tizhoosh , Fuzzy Image Processing. A. Meyer-Base , Neural Net Computing