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Image Analysis

19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark, June 15-17, 2015. Proceedings

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Rasmus R. Paulsen

    1. Technical University of Denmark, Lyngby, Denmark

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  2. Kim S. Pedersen

    1. University of Copenhagen, Copenhagen, Denmark

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9127)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: SCIA 2015.

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Table of contents (45 papers)

  1. Pattern Recognition

    1. Consensus Clustering Using kNN Mode Seeking

      • Jonas Nordhaug Myhre, Karl Øyvind Mikalsen, Sigurd Løkse, Robert Jenssen
      Pages 175-186

    2. Discriminating Yogurt Microstructure Using Diffuse Reflectance Images

      • Jacob Skytte, Flemming Møller, Otto Abildgaard, Anders Dahl, Rasmus Larsen
      Pages 187-198

  2. Biomedical Image Analysis

    1. Front Matter

      Pages 199-199
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    2. An Ensemble of 2D Convolutional Neural Networks for Tumor Segmentation

      • Mark Lyksborg, Oula Puonti, Mikael Agn, Rasmus Larsen
      Pages 201-211

    3. Anatomically Correct Surface Recovery: A Statistical Approach

      • Rasmus R. Jensen, Jannik B. Nielsen, Rasmus Larsen, Rasmus R. Paulsen
      Pages 212-223

    4. Boosting Small-Data Performance of LBP: A Case Study in Celiac Disease Diagnosis

      • Michael Gadermayr, Andreas Uhl, Andreas Vécsei
      Pages 224-233

    5. Image Registration of Cochlear \(\mu \)CT Data Using Heat Distribution Similarity

      • Hans Martin Kjer, Sergio Vera, Jens Fagertun, Debora Gil, Miguel Ángel González-Ballester, Rasmus Paulsen
      Pages 234-245

  3. Pattern Recognition and Computational Imaging

    1. Front Matter

      Pages 247-247
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    2. Persistent Evidence of Local Image Properties in Generic ConvNets

      • Ali Sharif Razavian, Hossein Azizpour, Atsuto Maki, Josephine Sullivan, Carl Henrik Ek, Stefan Carlsson
      Pages 249-262

    3. Wooden Knot Detection Using ConvNet Transfer Learning

      • Rickard Norlander, Josef Grahn, Atsuto Maki
      Pages 263-274

    4. Regularizing Image Intensity Transformations Using the Wasserstein Metric

      • Magnus Oskarsson
      Pages 275-286

  4. 3D Vision and Pattern Recognition

    1. Front Matter

      Pages 287-287
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    2. Categorisation of 3D Objects in Range Images Using Compositional Hierarchies of Parts Based on MDL and Entropy Selection Criteria

      • Vladislav Kramarev, Krzysztof Walas, Aleš Leonardis
      Pages 289-301

    3. Characterizing Digital Light Processing (DLP) 3D Printed Primitives

      • Emil Tyge, Jens J. Pallisgaard, Morten Lillethorup, Nanna G. Hjaltalin, Mary K. Thompson, Line H. Clemmensen
      Pages 302-313

    4. Joint Spatial-Depth Feature Pooling for RGB-D Object Classification

      • Hong Pan, Søren Ingvor Olsen, Yaping Zhu
      Pages 314-326

  5. Posters

    1. Front Matter

      Pages 327-327
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    2. Category-Sensitive Hashing and Bloom Filter Based Descriptors for Online Keypoint Recognition

      • Oscar Danielsson
      Pages 329-340

    3. Deep Semantic Pyramids for Human Attributes and Action Recognition

      • Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Michael Felsberg, Jorma Laaksonen
      Pages 341-353

    4. Democratic Tone Mapping Using Optimal K-means Clustering

      • Magnus Oskarsson
      Pages 354-365

    5. Analysis of Thermal Video for Coarse to Fine Particle Tracking in Volcanic Explosion Plumes

      • Maxime Bombrun, Vincent Barra, Andrew Harris
      Pages 366-376
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  1. Image Analysis

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About this book

This book constitutes the refereed proceedings of the 19th Scandinavian Conference on Image Analysis, SCIA 2015, held in Copenhagen, Denmark, in June 2015. The 45 revised papers presented were carefully reviewed and selected from 67 submissions. The contributions are structured in topical sections on novel applications of vision systems, pattern recognition, machine learning, feature extraction, segmentation, 3D vision to medical and biomedical image analysis.

Editors and Affiliations

  • Technical University of Denmark, Lyngby, Denmark

    Rasmus R. Paulsen

  • University of Copenhagen, Copenhagen, Denmark

    Kim S. Pedersen

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