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The authoritative insights presented within cover all aspects of the sensory subsystem required by an intelligent system to perceive the environment and act autonomously. Volume 3 (From Pattern to Object) examines object recognition, neural networks, motion analysis, and 3D reconstruction of a scene. Topics and features: ? Describes the fundamental processes in the field of artificial vision that enable the formation of digital images from light energy ? Covers light propagation, color perception, optical systems, and the analog-to-digital conversion of the signal ? Discusses the information recorded in a digital image, and the image processing algorithms that can improve the visual qualities of the image ? Reviews boundary extraction algorithms, key linear and geometric transformations, and techniques for image restoration ? Presents a selection of different image segmentation algorithms, and of widely-used algorithms for the automatic detection of points of interest ? Examines important algorithms for object recognition, texture analysis, 3D reconstruction, motion analysis, and camera calibration ? Provides an introduction to four significant types of neural network, namely RBF, SOM, Hopfield, and deep neural networks This all-encompassing survey offers a complete reference for all students, researchers, and practitioners involved in developing intelligent machine vision systems. The work is also an invaluable resource for professionals within the IT/software and electronics industries involved in machine vision, imaging, and artificial intelligence. Dr. Cosimo Distante is a Research Scientist in Computer Vision and Pattern Recognition in the Institute of Applied Sciences and Intelligent Systems (ISAI) at the Italian National Research Council (CNR). Dr. Arcangelo Distante is a researcher and the former Director of the Institute of Intelligent Systems for Automation (ISSIA) at the CNR. 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