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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

  • Liming Chen
  • Boulbaba  Ben Amor
  • Faouzi Ghorbel
Conference proceedings RFMI 2017

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

Table of contents

  1. Front Matter
    Pages i-xii
  2. On Analyzing Motion Data

    1. Front Matter
      Pages 1-1
    2. Iraklis Tsekourakis, Philippos Mordohai
      Pages 3-19
    3. Ronny Hug, Stefan Becker, Wolfgang Hübner, Michael Arens
      Pages 20-34
    4. Ichraf Lahouli, Robby Haelterman, Zied Chtourou, Geert De Cubber, Rabah Attia
      Pages 35-44
    5. Andrey V. Mehrentsev, Artem V. Kruglov
      Pages 56-65
  3. Deep Learning on Image and Shape Data

    1. Front Matter
      Pages 67-67
    2. Zehua Fu, Mohsen Ardabilian, Guillaume Stern
      Pages 69-81
    3. Muhammad Shaban, Arif Mahmood, Somaya Al-maadeed, Nasir Rajpoot
      Pages 82-92
    4. Ameni Sassi, Wael Ouarda, Chokri Ben Amar, Serge Miguet
      Pages 110-120
    5. Amir Ghahremani, Egor Bondarev, Peter H. N. de With
      Pages 121-135
  4. 2D and 3D Pattern Classification

    1. Front Matter
      Pages 137-137
    2. Claudio Tortorici, Naoufel Werghi, Stefano Berretti
      Pages 151-166
  5. Watermarking, Segmentation and Deformations

    1. Front Matter
      Pages 179-179
    2. Maroua Affes, Malek Sellami Meziou, Faouzi Ghorbel
      Pages 181-191
    3. Ying Lu, Liming Chen, Alexandre Saidi, Xianfeng Gu
      Pages 204-212
    4. Rim Ayari Abid, Asma Ben Abdallah, Mohamed Hédi Bedoui
      Pages 213-220
  6. Back Matter
    Pages 221-221

About these proceedings

Introduction

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.

Keywords

3D artificial intelligence computer graphics computer vision descriptors estimation image coding image processing image reconstruction image segmentation neural networks object recognition

Editors and affiliations

  1. 1.Ecole Centrale de Lyon/LIRISLyonFrance
  2. 2.Cité ScientifiqueIMT Lille Douai/CRIStALVilleneuve-d'Ascq CedexFrance
  3. 3.Ecole Nationale des Sciences de l’Informatique de Tunisie/CRISTALManoubaTunisia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-19816-9
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-19815-2
  • Online ISBN 978-3-030-19816-9
  • Series Print ISSN 1865-0929
  • Series Online ISSN 1865-0937
  • Buy this book on publisher's site
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