Foundations of computer vision : computational geometry, visual image structures and object shape detection /: computational geometry, visual image structures and object shape detection. (2017)

• Record Type: Book
• Further Information: Note: James F. Peters.
• Authors: Peters, James F
• Contents: Basics 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?.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2017
• Extent: 1 online resource (xvii, 431 pages), illustrations (some color)
• Subjects: 006.3/7; Engineering; Computer vision; Computer vision; Engineering; Computational Intelligence; Image Processing and Computer Vision; Artificial Intelligence (incl. Robotics); Applications of Graph Theory and Complex Networks; Computers -- Computer Graphics; Computers -- Intelligence (AI) & Semantics; Science -- System Theory; Image processing; Artificial intelligence; Mathematical physics; Artificial intelligence; Electronic books; Electronic book
• Languages: English
• ISBNs: 9783319524832; 3319524836
• Related ISBNs: 9783319524818; 331952481X
• Notes: Note: Includes bibliographical references and index.; Note: Online resource; title from PDF title page (SpringerLink, viewed March 27, 2017).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.