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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Concise Computer Vision
• Subtitle: An Introduction into Theory and Algorithms
• Author: Reinhard Klette
• Language: English
• Binding: Paperback
• Number of pages: 429
• EAN: 9781447163190
• ISBN: 1447163192
• ID: 02282630
• Publisher: Springer London Ltd
• Weight: 676 g
• Dimensions: 235 × 156 × 23 mm
• Date of publishing: 05. January 2014

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