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Image Analysis and Recognition

13th International Conference, ICIAR 2016, in Memory of Mohamed Kamel, Póvoa de Varzim, Portugal, July 13-15, 2016, Proceedings

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Aurélio Campilho

    1. University of Porto, Porto, Portugal

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    You can also search for this editor in PubMed   Google Scholar

  2. Fakhri Karray

    1. Department of Electrical, University of Waterloo, Waterloo, Canada

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9730)

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

Included in the following conference series:

Conference proceedings info: ICIAR 2016.

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About this book

This book constitutes the thoroughly refereed proceedings of the 13th International Conference on Image Analysis and Recognition, ICIAR 2016, held in Póvoa de Varzim, Portugal, in July 2016.
The 79 revised full papers and 10 short papers presented were carefully reviewed and selected from 167 submissions. The papers are organized in the following topical sections: Advances in Data Analytics and Pattern Recognition with Applications, Image Enhancement and Restoration, Image Quality Assessment, Image Segmentation, Pattern Analysis and Recognition, Feature Extraction, Detection and Recognition, Matching, Motion and Tracking, 3D Computer Vision, RGB-D Camera Applications, Visual Perception in Robotics, Biometrics, Biomedical Imaging, Brain Imaging, Cardiovascular Image Analysis, Image Analysis in Ophthalmology, Document Analysis, Applications, and Obituaries.

The chapter 'Morphological Separation of Clustered Nuclei in Histological Images' is published open access under a CCBY 4.0 license at link.springer.com. 

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Table of contents (89 papers)

  1. Front Matter

    Pages I-XXI
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  2. Advances in Data Analytics and Pattern Recognition with Applications

    1. Front Matter

      Pages 1-1
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    2. Adaptation Approaches in Unsupervised Learning: A Survey of the State-of-the-Art and Future Directions

      • JunHong Wang, YunQian Miao, Alaa Khamis, Fakhri Karray, Jiye Liang
      Pages 3-11

    3. Semi-supervised Dictionary Learning Based on Hilbert-Schmidt Independence Criterion

      • Mehrdad J. Gangeh, Safaa M. A. Bedawi, Ali Ghodsi, Fakhri Karray
      Pages 12-19

    4. Transferring and Compressing Convolutional Neural Networks for Face Representations

      • Jakob Grundström, Jiandan Chen, Martin Georg Ljungqvist, Kalle Åström
      Pages 20-29

    5. Efficient Melanoma Detection Using Texture-Based RSurf Features

      • Tomáš Majtner, Sule Yildirim-Yayilgan, Jon Yngve Hardeberg
      Pages 30-37

    6. High-Frequency Spectral Energy Map Estimation Based Gait Analysis System Using a Depth Camera for Pathology Detection

      • Didier Ndayikengurukiye, Max Mignotte
      Pages 38-45

    7. Combining Low-Level Features of Offline Questionnaires for Handwriting Identification

      • Dirk Siegmund, Tina Ebert, Naser Damer
      Pages 46-54

    8. Person Profiling Using Image and Facial Attributes Analyses on Unconstrained Images Retrieved from Online Sources

      • Elisabeth Wetzinger, Michael Atanasov, Martin Kampel
      Pages 55-62

    9. Palm Print Identification and Verification Using a Genetic-Based Feature Extraction Technique

      • Joseph Shelton, John Jenkins, Kaushik Roy
      Pages 63-68

    10. PCA-Based Face Recognition: Similarity Measures and Number of Eigenvectors

      • Sushma Niket Borade, Ratnadeep R. Deshmukh
      Pages 69-77

  3. Image Enhancement and Restoration

    1. Front Matter

      Pages 79-79
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    2. Sinogram Restoration Using Confidence Maps to Reduce Metal Artifact in Computed Tomography

      • Louis Frédérique, Benoit Recur, Sylvain Genot, Jean-Philippe Domenger, Pascal Desbarats
      Pages 81-89

    3. Enhancement of a Turbulent Degraded Frame Using 2D-DTW Averaging

      • Rishaad Abdoola, Barend van Wyk
      Pages 90-100

    4. Denoising Multi-view Images Using Non-local Means with Different Similarity Measures

      • Monagi H. Alkinani, Mahmoud R. El-Sakka
      Pages 101-109

    5. Image Denoising Using Euler-Lagrange Equations for Function-Valued Mappings

      • Daniel Otero, Davide La Torre, Edward R. Vrscay
      Pages 110-119

    6. Runtime Performance Enhancement of a Superpixel Based Saliency Detection Model

      • Qazi Aitezaz Ahmed, Mahmood Akhtar
      Pages 120-130

    7. Total Variation Minimization for Measure-Valued Images with Diffusion Spectrum Imaging as Motivation

      • Davide La Torre, Franklin Mendivil, Oleg Michailovich, Edward R. Vrscay
      Pages 131-137

  4. Image Quality Assessment

    1. Front Matter

      Pages 139-139
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    2. Quality Assessment of Spectral Reproductions: The Camera’s Perspective

      • Steven Le Moan
      Pages 141-147
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Other volumes

  1. Image Analysis and Recognition

Editors and Affiliations

  • University of Porto, Porto, Portugal

    Aurélio Campilho

  • Department of Electrical, University of Waterloo, Waterloo, Canada

    Fakhri Karray

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