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000780399 019__ $$a981805785$$a981990711$$a982016541$$a984866306
000780399 020__ $$a9783319524832$$q(electronic book)
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000780399 1001_ $$aPeters, James F.,$$eauthor.
000780399 24510 $$aFoundations of computer vision :$$bcomputational geometry, visual image structures and object shape detection /$$cJames F. Peters.
000780399 264_1 $$aCham, Switzerland :$$bSpringer,$$c2017.
000780399 300__ $$a1 online resource (xvii, 431 pages) :$$billustrations.
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000780399 4901_ $$aIntelligent systems reference library,$$x1868-4394 ;$$vvolume 124
000780399 504__ $$aIncludes bibliographical references and index.
000780399 5050_ $$aBasics Leading to Machine Vision -- Working with Pixels -- Visualising Pixel Intensity Distributions -- Linear Filtering -- Edges, Lines, Corners, Gaussian kernel and Voronoï Meshes -- Delaunay Mesh Segmentation -- Video Processing. An Introduction to Real-Time and Offline Video Analysis -- Lowe Keypoints, Maximal Nucleus Clusters, Contours and Shapes -- Postscript. Where Do Shapes fit into the Computer Vision Landscape?.
000780399 506__ $$aAccess limited to authorized users.
000780399 520__ $$aThis book introduces the fundamentals of computer vision (CV), with a focus on extracting useful information from digital images and videos. Including a wealth of methods used in detecting and classifying image objects and their shapes, it is the first book to apply a trio of tools (computational geometry, topology and algorithms) in solving CV problems, shape tracking in image object recognition and detecting the repetition of shapes in single images and video frames. Computational geometry provides a visualization of topological structures such as neighborhoods of points embedded in images, while image topology supplies us with structures useful in the analysis and classification of image regions. Algorithms provide a practical, step-by-step means of viewing image structures. The implementations of CV methods in Matlab and Mathematica, classification of chapter problems with the symbols (easily solved) and (challenging) and its extensive glossary of key words, examples and connections with the fabric of CV make the book an invaluable resource for advanced undergraduate and first year graduate students in Engineering, Computer Science or Applied Mathematics. It offers insights into the design of CV experiments, inclusion of image processing methods in CV projects, as well as the reconstruction and interpretation of recorded natural scenes.
000780399 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 27, 2017).
000780399 650_0 $$aComputer vision.
000780399 77608 $$iPrint version:$$z331952481X$$z9783319524818$$w(OCoLC)966556391
000780399 830_0 $$aIntelligent systems reference library ;$$vv. 124.
000780399 852__ $$bebk
000780399 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-52483-2$$zOnline Access$$91397441.1
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