Editors:
- Fast track conference proceedings
- Unique visibility
- State of the art research
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7944)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): SCIA: Scandinavian Conference on Image Analysis
Conference proceedings info: SCIA 2013.
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Table of contents (67 papers)
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Front Matter
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Feature Extraction and Segmentation
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Pattern Recognition and Machine Learning
About this book
The 67 revised full papers presented were carefully reviewed and selected from 132 submissions. The papers are organized in topical sections on feature extraction and segmentation, pattern recognition and machine learning, medical and biomedical image analysis, faces and gestures, object and scene recognition, matching, registration, and alignment, 3D vision, color and multispectral image analysis, motion analysis, systems and applications, human-centered computing, and video and multimedia analysis.
Editors and Affiliations
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Department of Signal Processing, Tampere University of Technology, Tampere, Finland
Joni-Kristian Kämäräinen
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Department of Information and Computer Science,, Aalto University, Espoo, Finland
Markus Koskela
Bibliographic Information
Book Title: Image Analysis
Book Subtitle: 18th Scandinavian Conference, SCIA 2013, Espoo, Finland, June 17-20, 2013, Proceedings
Editors: Joni-Kristian Kämäräinen, Markus Koskela
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-38886-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag GmbH Germany, part of Springer Nature 2013
Softcover ISBN: 978-3-642-38885-9Published: 06 June 2013
eBook ISBN: 978-3-642-38886-6Published: 27 May 2013
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 733
Number of Illustrations: 363 b/w illustrations
Topics: Image Processing and Computer Vision, Pattern Recognition, Artificial Intelligence, Computer Graphics