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020 _a9783030423780
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024 7 _a10.1007/978-3-030-42378-0
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100 1 _aDistante, Arcangelo.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aHandbook of Image Processing and Computer Vision
_h[electronic resource] :
_bVolume 3: From Pattern to Object /
_cby Arcangelo Distante, Cosimo Distante.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXXIII, 676 p. 271 illus., 185 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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505 0 _aObject Recognition -- RBF, SOM, Hopfield and Deep Neural Networks -- Texture Analysis -- Paradigms for 3D Vision -- Shape from Shading -- Motion Analysis -- Camera Calibration and 3D Reconstruction.
520 _aAcross three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. 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 thevisual 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. His research interests are in the fields of Computer Vision, Pattern Recognition, Machine Learning, and Neural Computation.
650 0 _aComputer vision.
650 0 _aMachine learning.
650 0 _aArtificial intelligence
_xData processing.
650 1 4 _aComputer Vision.
650 2 4 _aMachine Learning.
650 2 4 _aData Science.
700 1 _aDistante, Cosimo.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030423773
776 0 8 _iPrinted edition:
_z9783030423797
776 0 8 _iPrinted edition:
_z9783030423803
856 4 0 _uhttps://doi.org/10.1007/978-3-030-42378-0
912 _aZDB-2-SCS
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942 _cSPRINGER
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