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Pattern Recognition

39th German Conference, GCPR 2017, Basel, Switzerland, September 12–15, 2017, Proceedings

  • Conference proceedings
  • © 2017

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10496)

Included in the following conference series:

Conference proceedings info: GCPR 2017.

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Table of contents (33 papers)

  1. Biomedical Image Processing and Analysis

  2. Classification and Detection

  3. Computational Photography

  4. Image and Video Processing

  5. Machine Learning and Pattern Recognition

Keywords

About this book

This book constitutes the refereed proceedings of the 39th German Conference on Pattern Recognition, GCPR 2017, held in  Basel, Switzerland, in September 2017.The 33 revised full papers presented were carefully reviewed and selected from 60 submissions. The papers are organized in topical sections on biomedical image processing and analysis; classification and detection; computational photography;  image and video processing; machine learning and pattern recognition; mathematical foundations, statistical data analysis and models; motion and segmentation; pose, face and gesture; reconstruction and depth;  and tracking.

Editors and Affiliations

  • University of Basel, Basel, Switzerland

    Volker Roth, Thomas Vetter

Bibliographic Information

  • Book Title: Pattern Recognition

  • Book Subtitle: 39th German Conference, GCPR 2017, Basel, Switzerland, September 12–15, 2017, Proceedings

  • Editors: Volker Roth, Thomas Vetter

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-319-66709-6

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing AG 2017

  • Softcover ISBN: 978-3-319-66708-9Published: 16 August 2017

  • eBook ISBN: 978-3-319-66709-6Published: 06 September 2017

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVI, 428

  • Number of Illustrations: 159 b/w illustrations

  • Topics: Pattern Recognition, Image Processing and Computer Vision, Artificial Intelligence

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