Concise Computer Vision: An Introduction into Theory and Algorithms
Reinhard Klette
€ 71.83
FREE Delivery in Ireland
Description for Concise Computer Vision: An Introduction into Theory and Algorithms
Paperback. Concise Computer Vision Series: Undergraduate Topics in Computer Science. Num Pages: 429 pages, 69 black & white illustrations, 229 colour illustrations, 4 black & white tables, biograp. BIC Classification: UMA; UYQV; UYT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 28. Weight in Grams: 792.
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 ... Read more
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 ... Read more
Product Details
Publisher
Springer London Ltd
Format
Paperback
Publication date
2014
Series
Undergraduate Topics in Computer Science
Condition
New
Number of Pages
429
Place of Publication
England, United Kingdom
ISBN
9781447163190
SKU
V9781447163190
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Reinhard Klette
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.
Reviews for Concise Computer Vision: An Introduction into Theory and Algorithms