An Introduction to 3d Computer Vision Techniques and Algorithms

  • ISBN 13:


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  • Format: Hardcover
  • Copyright: 02/09/2009
  • Publisher: Wiley

Note: Not guaranteed to come with supplemental materials (access cards, study guides, lab manuals, CDs, etc.)

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An Introduction to 3D Computer Vision Algorithms and Techniques takes a novel approach to 3D computer vision as it gives comprehensive coverage of methods and theory, but with a strong emphasis on practical algorithms and implementation issues. The book ranges from an overview of the basics of computer vision, with a brief history of vision research and a section on 2D and 3D vision and image analysis, to chapters exploring a range of image matching algorithms, space reconstruction and multi view integration. Concise appendices consolidate advanced modern methods for image analysis such as projective geometry and tensor algebra for machine vision, allowing the reader to become quickly acquainted with these topics. Cyganek and Siebert continually stress the importance of real-world application with practical examples of working algorithms, a chapter on case studies, suggestions for further reading and end-of-chapter exercises and problems. Overall, this text provides an accessible inter-disciplinary reference for advanced students, researchers, practitioners and programmers in the fields of computer science, engineering, robotics and mathematics.

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