In this volume the author gives an introduction to the theory of group representations and their applications in image science. The main feature of the presentation is a systematic treatment of the invariance principle in image processing and pattern recognition with the help of group theoretical methods. The invariance properties of a problem often largely define the solution to the problem.
Invariance principles are well known in theoretical physics but their use in image processing is only a few years old. The reader will find that group theory provides a unifying framework for many problems in image science. The volume is based on graduate-level lectures given by the author, and the book is intended for students and researchers interested in theoretical aspects of computer vision.
| ISBN: | 9783540522904 |
| Publication date: | 7th March 1990 |
| Author: | Reiner Lenz |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 139 pages |
| Series: | Lecture Notes in Computer Science |
| Genres: |
Applied computing Pattern recognition Computer vision Digital signal processing (DSP) Groups and group theory Electronics engineering |
In this volume the author gives an introduction to the theory of group representations and their applications in image science. The main feature of the presentation is a systematic treatment of the invariance principle in image processing and pattern recognition with the help of group theoretical methods.
Group Theoretical Methods in Image Processing features in the following genres: Applied computing, Pattern recognition, Computer vision, Digital signal processing (DSP), Groups and group theory, Electronics engineering
Paperback. Not Available.
Group Theoretical Methods in Image Processing was written by Reiner Lenz and published by Springer an imprint of Springer Berlin Heidelberg
Group Theoretical Methods in Image Processing has 139 pages
Yes it is part of Lecture Notes in Computer Science series