Computer Vision and Applications

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.

• 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

Graduate students, researchers, and engineers in the areas of computer vision and robotics.

Preface. 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 for Image Processing. Application Gallery. Index.