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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.
- Illustratör: 4 schwarz-weiße Tabellen 78 schwarz-weiße und 220 farbige Abbildungen Bibliographie
- Format: Pocket/Paperback
- ISBN: 9781447163190
- Språk: Engelska
- Antal sidor: 429
- Utgivningsdatum: 2014-01-20
- Förlag: Springer London Ltd