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Image Analysis

18th Scandinavian Conference, SCIA 2013, Espoo, Finland, June 17-20, 2013, Proceedings

  • Conference proceedings
  • © 2013

Overview

Editors:
  1. Joni-Kristian Kämäräinen

    1. Department of Signal Processing, Tampere University of Technology, Tampere, Finland

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  2. Markus Koskela

    1. Department of Information and Computer Science,, Aalto University, Espoo, Finland

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    You can also search for this editor in PubMed   Google Scholar

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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)

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Conference proceedings info: SCIA 2013.

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About this book

This book constitutes the refereed proceedings of the 18th Scandinavian Conference on Image Analysis, SCIA 2013, held in Espoo, Finland, in June 2013.
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.

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Table of contents (67 papers)

  1. Front Matter

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  2. Feature Extraction and Segmentation

    1. Texture Description with Completed Local Quantized Patterns

      • Xiaohua Huang, Guoying Zhao, Xiaopeng Hong, Matti Pietikäinen, Wenming Zheng
      Pages 1-10

    2. A Local Image Descriptor Robust to Illumination Changes

      • Sebastian Zambanini, Martin Kampel
      Pages 11-21

    3. Detection of Curvilinear Structures by Tensor Voting Applied to Fiber Characterization

      • Nataliya Strokina, Tatiana Kurakina, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen
      Pages 22-33

    4. Simple-Graphs Fusion in Image Mosaic: Application to Automated Cell Files Identification in Wood Slices

      • Guilhem Brunel, Philippe Borianne, Gérard Subsol, Marc Jaeger
      Pages 34-43

    5. Unsupervised Segmentation of Anomalies in Sequential Data, Images and Volumetric Data Using Multiscale Fourier Phase-Only Analysis

      • Fabian Bürger, Josef Pauli
      Pages 44-53

    6. Extended 3D Line Segments from RGB-D Data for Pose Estimation

      • Anders Glent Buch, Jeppe Barsøe Jessen, Dirk Kraft, Thiusius Rajeeth Savarimuthu, Norbert Krüger
      Pages 54-65

    7. Incorporating Texture Intensity Information into LBP-Based Operators

      • M. Ghahramani, Guoying Zhao, Matti Pietikäinen
      Pages 66-75

    8. Bayesian Non-parametric Image Segmentation with Markov Random Field Prior

      • Ehsan Amid
      Pages 76-84

    9. Evaluating Local Feature Detectors in Salient Region Detection

      • Teemu Kinnunen, Mari Laine-Hernandez, Pirkko Oittinen
      Pages 85-94

    10. Forest Stand Delineation Using a Hybrid Segmentation Approach Based on Airborne Laser Scanning Data

      • Zhengzhe Wu, Ville Heikkinen, Markku Hauta-Kasari, Jussi Parkkinen, Timo Tokola
      Pages 95-106

    11. Mean Shift with Flatness Constraints

      • Eduard Sojka, Milan Šurkala, Jan Gaura
      Pages 107-118

    12. Constructing Local Binary Pattern Statistics by Soft Voting

      • Juha Ylioinas, Xiaopeng Hong, Matti Pietikäinen
      Pages 119-130

  3. Pattern Recognition and Machine Learning

    1. Cascaded Random Forest for Fast Object Detection

      • Florian Baumann, Arne Ehlers, Karsten Vogt, Bodo Rosenhahn
      Pages 131-142

    2. Multiplicative Updates for Learning with Stochastic Matrices

      • Zhanxing Zhu, Zhirong Yang, Erkki Oja
      Pages 143-152

    3. Validating the Visual Saliency Model

      • Ali Alsam, Puneet Sharma
      Pages 153-161

    4. Bundle Methods for Structured Output Learning — Back to the Roots

      • Michal Uřičář, Vojtěch Franc, Václav Hlaváč
      Pages 162-171

    5. Continuous-Space Gaussian Process Regression and Generalized Wiener Filtering with Application to Learning Curves

      • Simo Särkkä, Arno Solin
      Pages 172-181

    6. Approximations of Gaussian Process Uncertainties for Visual Recognition Problems

      • Paul Bodesheim, Alexander Freytag, Erik Rodner, Joachim Denzler
      Pages 182-194

    7. Topology-Preserving Dimension-Reduction Methods for Image Pattern Recognition

      • Hayato Itoh, Tomoya Sakai, Kazuhiko Kawamoto, Atsushi Imiya
      Pages 195-204
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Other volumes

  1. Image Analysis

Editors and Affiliations

  • Department of Signal Processing, Tampere University of Technology, Tampere, Finland

    Joni-Kristian Kämäräinen

  • Department of Information and Computer Science,, Aalto University, Espoo, Finland

    Markus Koskela

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