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Bibliographic Detail
Publisher
Springer-Verlag New York Inc
Publication date
January 20, 2014
Pages
429
Binding
Paperback
Book category
Adult Non-Fiction
ISBN-13
9781447163190
ISBN-10
1447163192
Dimensions
1 by 6.25 by 9 in.
Weight
1.90 lbs.
Published in
Great Britain
Original list price
$59.99
Amazon.com says people who bought this book also bought:
Computer Vision: Principles, Algorithms, Applications, Learning | Deep Learning with Python | Deep Learning (Adaptive Computation and Machine Learning series) | Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems | Pattern Recognition And Machine Learning | Computer Vision | Computer Vision
Computer Vision: Principles, Algorithms, Applications, Learning | Deep Learning with Python | Deep Learning (Adaptive Computation and Machine Learning series) | Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems | Pattern Recognition And Machine Learning | Computer Vision | Computer Vision
Summaries and Reviews
Amazon.com description: Product Description: 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.
Editions
Paperback
The price comparison is for this edition
from Springer-Verlag New York Inc (January 20, 2014)
9781447163190 | details & prices | 429 pages | 6.25 × 9.00 × 1.00 in. | 1.90 lbs | List price $59.99
About: This textbook provides an accessible general introduction to the essential topics in computer vision.
About: This textbook provides an accessible general introduction to the essential topics in computer vision.
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