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Representations, Analysis and Recognition of Shape and Motion from Imaging Data

7th International Workshop, RFMI 2017, Savoie, France, December 17–20, 2017, Revised Selected Papers

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Liming Chen

    1. Ecole Centrale de Lyon/LIRIS, Lyon, France

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  2. Boulbaba Ben Amor

    1. Cité Scientifique, IMT Lille Douai/CRIStAL, Villeneuve-d'Ascq Cedex, France

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  3. Faouzi Ghorbel

    1. Ecole Nationale des Sciences de l’Informatique de Tunisie/CRISTAL, Manouba, Tunisia

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 842)

Included in the following conference series:

Conference proceedings info: RFMI 2017.

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Table of contents (17 papers)

  1. Front Matter

    Pages i-xii
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  2. On Analyzing Motion Data

    1. Front Matter

      Pages 1-1
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    2. A Comparison of Scene Flow Estimation Paradigms

      • Iraklis Tsekourakis, Philippos Mordohai
      Pages 3-19

    3. On the Reliability of LSTM-MDL Models for Pedestrian Trajectory Prediction

      • Ronny Hug, Stefan Becker, Wolfgang Hübner, Michael Arens
      Pages 20-34

    4. Pedestrian Tracking in the Compressed Domain Using Thermal Images

      • Ichraf Lahouli, Robby Haelterman, Zied Chtourou, Geert De Cubber, Rabah Attia
      Pages 35-44

    5. An Image Processing Framework for Automatic Tracking of Wave Fronts and Estimation of Wave Front Velocity for a Gas Experiment

      • Samee Maharjan, Dag Bjerketvedt, Ola Marius Lysaker
      Pages 45-55

    6. The Algorithm and Software for Timber Batch Measurement by Using Image Analysis

      • Andrey V. Mehrentsev, Artem V. Kruglov
      Pages 56-65

  3. Deep Learning on Image and Shape Data

    1. Front Matter

      Pages 67-67
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    2. Stereo Matching Confidence Learning Based on Multi-modal Convolution Neural Networks

      • Zehua Fu, Mohsen Ardabilian, Guillaume Stern
      Pages 69-81

    3. Multi-person Head Segmentation in Low Resolution Crowd Scenes Using Convolutional Encoder-Decoder Framework

      • Muhammad Shaban, Arif Mahmood, Somaya Al-maadeed, Nasir Rajpoot
      Pages 82-92

    4. CrossEncoder: Towards 3D-Free Depth Face Recovery and Fusion Scheme for Heterogeneous Face Recognition

      • Wuming Zhang, Liming Chen
      Pages 93-109

    5. Neural Approach for Context Scene Image Classification Based on Geometric, Texture and Color Information

      • Ameni Sassi, Wael Ouarda, Chokri Ben Amar, Serge Miguet
      Pages 110-120

    6. Self-learning Framework with Temporal Filtering for Robust Maritime Vessel Detection

      • Amir Ghahremani, Egor Bondarev, Peter H. N. de With
      Pages 121-135

  4. 2D and 3D Pattern Classification

    1. Front Matter

      Pages 137-137
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    2. Rapid Urban 3D Modeling for Drone-Based Situational Awareness Assistance in Emergency Situations

      • Inge Coudron, Toon Goedemé
      Pages 139-150

    3. Defining Mesh-LBP Variants for 3D Relief Patterns Classification

      • Claudio Tortorici, Naoufel Werghi, Stefano Berretti
      Pages 151-166

    4. A Normalized Generalized Curvature Scale Space for 2D Contour Representation

      • Ameni Benkhlifa, Faouzi Ghorbel
      Pages 167-177

  5. Watermarking, Segmentation and Deformations

    1. Front Matter

      Pages 179-179
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    2. A New Watermarking Method Based on Analytical Clifford Fourier Mellin Transform

      • Maroua Affes, Malek Sellami Meziou, Faouzi Ghorbel
      Pages 181-191

    3. Simultaneous Semi-supervised Segmentation of Category-Independent Objects from a Collection of Images

      • Hager Merdassi, Walid Barhoumi, Ezzeddine Zagrouba
      Pages 192-203
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  1. Representations, Analysis and Recognition of Shape and Motion from Imaging Data

Keywords

About this book

This book constitutes the refereed proceedings of the 7th International Workshop on Representations, Analysis and Recognition of Shape and Motion from Imaging Data, RFMI 2017, held in Savoi, France, in December 2017.
The 8 revised full papers and 9 revised short papers presented were carefully reviewed and selected from 23 submissions. The papers are organized in topical sections on analyzing motion data; deep learning on image and shape data; 2D and 3D pattern classification; watermarking, segmentation and deformations.

Editors and Affiliations

  • Ecole Centrale de Lyon/LIRIS, Lyon, France

    Liming Chen

  • Cité Scientifique, IMT Lille Douai/CRIStAL, Villeneuve-d'Ascq Cedex, France

    Boulbaba Ben Amor

  • Ecole Nationale des Sciences de l’Informatique de Tunisie/CRISTAL, Manouba, Tunisia

    Faouzi Ghorbel

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