Energy Minimization Methods in Computer Vision and Pattern Recognition

11th International Conference, EMMCVPR 2017, Venice, Italy, October 30 – November 1, 2017, Revised Selected Papers

  • Marcello Pelillo
  • Edwin Hancock
Conference proceedings EMMCVPR 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10746)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 10746)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Clustering and Quantum Methods

    1. Front Matter
      Pages 1-1
    2. Christian Bauckhage, E. Brito, K. Cvejoski, C. Ojeda, Rafet Sifa, S. Wrobel
      Pages 3-17
    3. Davi Geiger, Zvi M. Kedem
      Pages 18-33
    4. Stefan Kinauer, Riza Alp Güler, Siddhartha Chandra, Iasonas Kokkinos
      Pages 34-48
    5. Matteo Denitto, Manuele Bicego, Alessandro Farinelli, Marcello Pelillo
      Pages 49-61
    6. Francisco Escolano, Edwin R. Hancock
      Pages 62-75
  3. Motion and Tracking

    1. Front Matter
      Pages 77-77
    2. Michael Stoll, Daniel Maurer, Andrés Bruhn
      Pages 79-92
    3. Nazrul Haque, N. Dinesh Reddy, Madhava Krishna
      Pages 93-108
    4. Chris Ying, Katerina Fragkiadaki
      Pages 109-122
    5. Jonas Geiping, Hendrik Dirks, Daniel Cremers, Michael Moeller
      Pages 123-138
    6. Michael Stoll, Daniel Maurer, Sebastian Volz, Andrés Bruhn
      Pages 139-154
    7. Shengze Cai, Etienne Mémin, Pierre Dérian, Chao Xu
      Pages 155-171
  4. Image Processing and Segmentation

    1. Front Matter
      Pages 173-173
    2. Yusuf Osmanlıoğlu, Bahareh Shakibajahromi, Ali Shokoufandeh
      Pages 175-188
    3. Maria Klodt, Raphael Hauser
      Pages 189-204
    4. Fabien Pierre, Jean-François Aujol, Charles-Alban Deledalle, Nicolas Papadakis
      Pages 235-248

About these proceedings


This volume constitutes the refereed proceedings of the 11th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2017, held in Venice, Italy, in October/November 2017.

The 37 revised full papers were carefully reviewed and selected from 51 submissions. The papers are organized in topical sections on Clustering and Quantum Methods; Motion and Tracking; Image Processing and Segmentation; Color, Shading and Reflectance of Light; Propagation and Time-evolution; and Inference, Labeling, and Relaxation.


artificial intelligence clustering clustering analysis computer vision estimation image analysis image coding image processing image reconstruction machine learning motion estimation neural networks numerical methods object recognition optical flows optimization pattern recognition signal processing

Editors and affiliations

  1. 1.Ca’ Foscari University of VeniceVeniceItaly
  2. 2.University of YorkYorkUnited Kingdom

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-78198-3
  • Online ISBN 978-3-319-78199-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book