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Introduction to visual computing : core concepts in computer vision, graphics, and image processing / Aditi Majumder, University of California, Irvine, USA, M. Gopi, University of California, Irvine, USA.

By: Contributor(s): Copyright date: Florida : CRC Press, is an imprint of Taylor & Francis Group, c2018Description: xvi, 376 pages, 6 unnumbered pages of plates : illustrations (some color) ; 25 cmContent type:
  • text
  • still image
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781482244915
Subject(s): DDC classification:
  • 006.6 .M234 2018
Summary: "Introduction to Visual Computing: Core Concepts in Computer Vision, Graphics, and Image Processing covers the fundamental concepts of visual computing. Whereas past books have treated these concepts within the context of specific fields such as computer graphics, computer vision or image processing, this book offers a unified view of these core concepts, thereby providing a unified treatment of computational and mathematical methods for creating, capturing, analyzing and manipulating visual data (e.g. 2D images, 3D models). Fundamentals covered in the book include convolution, Fourier transform, filters, geometric transformations, epipolar geometry, 3D reconstruction, color and the image synthesis pipeline." --Provided by publisher
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Holdings
Item type Current library Call number Status Date due Barcode
Print Materials Main Library General Circulation 006.6 .M234 2018 (Browse shelf(Opens below)) Available 0121619

Includes index

"A Chapman & Hall Book" --Cover

"Introduction to Visual Computing: Core Concepts in Computer Vision, Graphics, and Image Processing covers the fundamental concepts of visual computing. Whereas past books have treated these concepts within the context of specific fields such as computer graphics, computer vision or image processing, this book offers a unified view of these core concepts, thereby providing a unified treatment of computational and mathematical methods for creating, capturing, analyzing and manipulating visual data (e.g. 2D images, 3D models). Fundamentals covered in the book include convolution, Fourier transform, filters, geometric transformations, epipolar geometry, 3D reconstruction, color and the image synthesis pipeline." --Provided by publisher

Adult

Text in English

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