Concise Computer Vision

An Introduction into Theory and Algorithms

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Application Software, Computer Graphics, General Computing
Cover of the book Concise Computer Vision by Reinhard Klette, Springer London
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Reinhard Klette ISBN: 9781447163206
Publisher: Springer London Publication: January 4, 2014
Imprint: Springer Language: English
Author: Reinhard Klette
ISBN: 9781447163206
Publisher: Springer London
Publication: January 4, 2014
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer London

Cover of the book Genitourinary Radiology: Kidney, Bladder and Urethra by Reinhard Klette
Cover of the book Concept Generation for Design Creativity by Reinhard Klette
Cover of the book Distributed Graph Algorithms for Computer Networks by Reinhard Klette
Cover of the book User-Centered Interaction Design Patterns for Interactive Digital Television Applications by Reinhard Klette
Cover of the book Lectures on Functional Analysis and the Lebesgue Integral by Reinhard Klette
Cover of the book CT and Myelography of the Spine and Cord by Reinhard Klette
Cover of the book Multi-Agent Based Beam Search for Real-Time Production Scheduling and Control by Reinhard Klette
Cover of the book Iterative Identification and Control by Reinhard Klette
Cover of the book Efficient Algorithms for Discrete Wavelet Transform by Reinhard Klette
Cover of the book Software and Data for Practical Astronomers by Reinhard Klette
Cover of the book Pruritus by Reinhard Klette
Cover of the book Sensing and Systems in Pervasive Computing by Reinhard Klette
Cover of the book Requirements Engineering by Reinhard Klette
Cover of the book Mathematics for Computer Graphics by Reinhard Klette
Cover of the book Clinical Trials in Osteoporosis by Reinhard Klette
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy