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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.
| Autorius: | Reiner Lenz |
| Serija: | Lecture Notes in Computer Science |
| Leidėjas: | Springer Berlin Heidelberg |
| Išleidimo metai: | 1990 |
| Knygos puslapių skaičius: | 152 |
| ISBN-10: | 3540522905 |
| ISBN-13: | 9783540522904 |
| Formatas: | 235 x 155 x 9 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Group Theoretical Methods in Image Processing“
