Computer vision (Mehr als 18.000 Ergebnisse)

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Hardback. Zustand: Fair. Appropriate for Senior/Graduate level courses on computer vision, robot vision and image processing in electrical and computer engineering, mathematics, and computer science departments. This book covers a range of fundamental problems encountered within computer vision and provides algorithmic and theoretical solutions for these problems.…

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Hardback. Zustand: Good. Appropriate for Senior/Graduate level courses on computer vision, robot vision and image processing in electrical and computer engineering, mathematics, and computer science departments. This book covers a range of fundamental problems encountered within computer vision and provides algorithmic and theoretical solutions for these problems.…

Sprache: Englisch
Verlag: Springer London Ltd, 2014
Serie: Buch 35 von 99 - Undergraduate Topics in Computer Science
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Paperback. Zustand: Good. This textbook provides an accessible general introduction to the essential topics in computer vision. Classroom-tested programming exercises and review questions are also supplied at the end of each chapter. Features: provides an introduction to the basic notation and mathematical concepts for describing an image and the key concepts for mapping an image into an image; explains the topologic and geometric basics for analysing image regions and distributions of image values and discusses identifying patterns in an image; introduces optic flow for representing dense motion and various topics in sparse motion analysis; describes special approaches for image binarization and segmentation of still images or video frames; examines the basic components of a computer vision system; reviews different techniques for vision-based 3D shape reconstruction; includes a discussion of stereo matchers and the phase-congruency model for image features; presents an introduction into classification and learning.…

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paperback. Zustand: Fair.

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Paperback. Zustand: Good. "This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised." -William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on that data. Computer vision is everywhere-in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It stitches Google maps and Google Earth together, checks the pixels on LCD screens, and makes sure the stitches in your shirt are sewn properly. OpenCV provides an easy-to-use computer vision framework and a comprehensive library with more than 500 functions that can run vision code in real time. Learning OpenCV will teach any developer or hobbyist to use the framework quickly with the help of hands-on exercises in each chapter. This book includes: * A thorough introduction to OpenCV * Getting input from cameras * Transforming images * Segmenting images and shape matching * Pattern recognition, including face detection * Tracking and motion in 2 and 3 dimensions *3D reconstruction from stereo vision * Machine learning algorithms Getting machines to see is a challenging but entertaining goal. Whether you want to build simple or sophisticated vision applications, Learning OpenCV is the book you need to get started.…

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Paperback. Zustand: Fair. "This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised." -William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on that data. Computer vision is everywhere-in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It stitches Google maps and Google Earth together, checks the pixels on LCD screens, and makes sure the stitches in your shirt are sewn properly. OpenCV provides an easy-to-use computer vision framework and a comprehensive library with more than 500 functions that can run vision code in real time. Learning OpenCV will teach any developer or hobbyist to use the framework quickly with the help of hands-on exercises in each chapter. This book includes: * A thorough introduction to OpenCV * Getting input from cameras * Transforming images * Segmenting images and shape matching * Pattern recognition, including face detection * Tracking and motion in 2 and 3 dimensions *3D reconstruction from stereo vision * Machine learning algorithms Getting machines to see is a challenging but entertaining goal. Whether you want to build simple or sophisticated vision applications, Learning OpenCV is the book you need to get started.…

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- Hardcover
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Hardback. Zustand: Good. Appropriate for Senior/Graduate level courses on computer vision, robot vision and image processing in electrical and computer engineering, mathematics, and computer science departments. This book covers a range of fundamental problems encountered within computer vision and provides algorithmic and theoretical solutions for these problems.…

- Hardcover
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Hardback. Zustand: Fair. Appropriate for Senior/Graduate level courses on computer vision, robot vision and image processing in electrical and computer engineering, mathematics, and computer science departments. This book covers a range of fundamental problems encountered within computer vision and provides algorithmic and theoretical solutions for these problems.…

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Paperback. Zustand: Very Good. If you want a basic understanding of computer vision's underlying theory and algorithms, this hands-on introduction is the ideal place to start. As a student, researcher, hacker, or enthusiast, you'll learn as you follow examples written in Python - the easy-to-learn language that has modules for handling images and mathematical computing and data mining on a par with commercial alternatives. Programming Computer Vision with Python teaches computer vision in broad terms that won't bog you down in theory. Instead, you'll find this book to be inspiring and motivating. You'll get all the code you need, with clear explanations on how to reproduce the book's examples and build upon them directly.…

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Hardback. Zustand: Very Good. Provides theory and examples for students and practitioners who will work in fields where significant information must be extracted automatically from images. This book is useful for upper level courses in Computer Vision and Image Analysis.

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Zustand: Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: first ] Publisher: Prentice Hall PTR Pub Date: 12/1/1997 Binding: Hardcover Pages: 528 first edition.

Sprache: Englisch
Verlag: Springer London Ltd, 2014
Serie: Buch 35 von 99 - Undergraduate Topics in Computer Science
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Paperback. Zustand: Good. This textbook provides an accessible general introduction to the essential topics in computer vision. Classroom-tested programming exercises and review questions are also supplied at the end of each chapter. Features: provides an introduction to the basic notation and mathematical concepts for describing an image and the key concepts for mapping an image into an image; explains the topologic and geometric basics for analysing image regions and distributions of image values and discusses identifying patterns in an image; introduces optic flow for representing dense motion and various topics in sparse motion analysis; describes special approaches for image binarization and segmentation of still images or video frames; examines the basic components of a computer vision system; reviews different techniques for vision-based 3D shape reconstruction; includes a discussion of stereo matchers and the phase-congruency model for image features; presents an introduction into classification and learning.…

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Sprache: Englisch
Verlag: Springer, 2014
Serie: Buch 35 von 99 - Undergraduate Topics in Computer Science
- Softcover
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