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Group Theoretical Methods in Image Processing

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概要 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 in...variance 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.続きを見る
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本文を見る Full text available from SpringerLINK Lecture Notes in Computer Science Archive (Through 1996)

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登録日 2020.06.27
更新日 2021.06.23