Concise Computer Vision (häftad)
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Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
429
Utgivningsdatum
2014-01-05
Upplaga
2014 ed.
Förlag
Springer London Ltd
Illustratör/Fotograf
4 schwarz-weiße Tabellen 78 schwarz-weiße und 220 farbige Abbildungen Bibliographie
Illustrationer
4 Tables, black and white; 229 Illustrations, color; 69 Illustrations, black and white; XVIII, 429 p
Dimensioner
232 x 156 x 25 mm
Vikt
634 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9781447163190
Concise Computer Vision (häftad)

Concise Computer Vision

An Introduction into Theory and Algorithms

Häftad Engelska, 2014-01-05
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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.
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Övrig information

Dr. Reinhard Klette, FRSNZ, is a Professor at the Tamaki Innovation Campus of The University of Auckland, New Zealand. His numerous other publications include the Springer title Euclidean Shortest Paths: Exact or Approximate Algorithms.

Innehållsförteckning

1: Image Data.- 2: Image Processing.- 3: Image Analysis.- 4: Dense Motion Analysis.- 5: Image Segmentation.- 6: Cameras, Coordinates and Calibration.- 7: 3D Shape Reconstruction.- 8: Stereo Matching.- 9: Feature Detection and Tracking.- 10: Object Detection.