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Image Analysis

21st Scandinavian Conference, SCIA 2019, Norrköping, Sweden, June 11–13, 2019, Proceedings

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Michael Felsberg

    1. Linköping University, Linköping, Sweden

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  2. Per-Erik Forssén

    1. Linköping University, Linköping, Sweden

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  3. Ida-Maria Sintorn

    1. Uppsala University, Uppsala, Sweden

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  4. Jonas Unger

    1. Linköping University, Linköping, Sweden

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11482)

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 2019.

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Table of contents (41 papers)

  1. Front Matter

    Pages i-xiv
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  2. Deep Convolutional Neural Networks

    1. Front Matter

      Pages 1-1
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    2. Deep Multi-class Adversarial Specularity Removal

      • John Lin, Mohamed El Amine Seddik, Mohamed Tamaazousti, Youssef Tamaazousti, Adrien Bartoli
      Pages 3-15

    3. Predicting Novel Views Using Generative Adversarial Query Network

      • Phong Nguyen-Ha, Lam Huynh, Esa Rahtu, Janne Heikkilä
      Pages 16-27

    4. CubiCasa5K: A Dataset and an Improved Multi-task Model for Floorplan Image Analysis

      • Ahti Kalervo, Juha Ylioinas, Markus Häikiö, Antti Karhu, Juho Kannala
      Pages 28-40

    5. An Efficient Solution for Semantic Segmentation: ShuffleNet V2 with Atrous Separable Convolutions

      • Sercan Türkmen, Janne Heikkilä
      Pages 41-53

    6. Unstructured Multi-view Depth Estimation Using Mask-Based Multiplane Representation

      • Yuxin Hou, Arno Solin, Juho Kannala
      Pages 54-66

    7. Fine-Grained Wood Species Identification Using Convolutional Neural Networks

      • Dmitrii Shustrov, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Heikki Haario
      Pages 67-77

    8. Spectral-Spatial Hyperspectral Image Classification Using Cascaded Convolutional Neural Networks

      • Gurbandurdy Dovletov, Tobias Hegemann, Josef Pauli
      Pages 78-89

    9. Assessing Capsule Networks with Biased Data

      • Bruno Ferrarini, Shoaib Ehsan, Adrien Bartoli, Aleš Leonardis, Klaus D. McDonald-Maier
      Pages 90-100

    10. Facial Emotion Recognition with Varying Poses and/or Partial Occlusion Using Multi-stage Progressive Transfer Learning

      • Sherin F. Aly, A. Lynn Abbott
      Pages 101-112

  3. Feature Extraction and Image Analysis

    1. Front Matter

      Pages 113-113
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    2. Compressed Imaging at Long Range in SWIR

      • Andreas Brorsson, Carl Brännlund, David Bergström, David Gustafsson
      Pages 115-127

    3. Zonohedral Approximation of Spherical Structuring Element for Volumetric Morphology

      • Patrick M. Jensen, Camilla H. Trinderup, Anders B. Dahl, Vedrana A. Dahl
      Pages 128-139

    4. Image Invariants to Anisotropic Gaussian Blur

      • Jitka Kostková, Jan Flusser, Matěj Lébl, Matteo Pedone
      Pages 140-151

    5. Material-Based Segmentation of Objects

      • Jonathan Dyssel Stets, Rasmus Ahrenkiel Lyngby, Jeppe Revall Frisvad, Anders Bjorholm Dahl
      Pages 152-163

    6. Filtering Specular Reflections by Merging Stereo Images

      • Michael Plattner, Gerald Ostermayer
      Pages 164-172

    7. Near Lossless JPEG Compression Based on Masking Effect of Non-predictable Energy of Image Regions

      • Mykola Ponomarenko, Karen Egiazarian
      Pages 173-183

    8. Using a Robotic Arm for Measuring BRDFs

      • Rasmus Ahrenkiel Lyngby, Jannik Boll Matthiassen, Jeppe Revall Frisvad, Anders Bjorholm Dahl, Henrik Aanæs
      Pages 184-196

    9. Unsupervised Feature Extraction – A CNN-Based Approach

      • Daniel J. Trosten, Puneet Sharma
      Pages 197-208
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  1. Image Analysis

Keywords

About this book

This volume constitutes the refereed proceedings of the 21st Scandinavian Conference on Image Analysis, SCIA 2019, held in Norrköping, Sweden, in June 2019.

The 40 revised papers presented were carefully reviewed and selected from 63 submissions. The contributions are structured in topical sections on Deep convolutional neural networks; Feature extraction and image analysis; Matching, tracking and geometry; and Medical and biomedical image analysis.​

Editors and Affiliations

  • Linköping University, Linköping, Sweden

    Michael Felsberg, Per-Erik Forssén, Jonas Unger

  • Uppsala University, Uppsala, Sweden

    Ida-Maria Sintorn

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