Image Analysis

1. Front Matter

   Pages i-xiv

   PDF

2. Deep Convolutional Neural Networks

   1. Front Matter

      Pages 1-1

      PDF

   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

      PDF

   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

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.​

• artificial intelligence
• classification
• computer vision
• estimation
• image analysis
• image coding
• image compression
• image processing
• image quality
• image reconstruction
• image segmentation
• imaging systems
• neural networks
• optoelectronic devices
• pattern recognition
• robotics
• sensors
• Support Vector Machines (SVM)
• visual communication
• 3D vision

• Linköping University, Linköping, Sweden

  Michael Felsberg, Per-Erik Forssén, Jonas Unger

• Uppsala University, Uppsala, Sweden

  Ida-Maria Sintorn

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