© 2018

Articulated Motion and Deformable Objects

10th International Conference, AMDO 2018, Palma de Mallorca, Spain, July 12-13, 2018, Proceedings

  • Francisco José Perales
  • Josef Kittler
Conference proceedings AMDO 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10945)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 10945)

Table of contents

  1. Front Matter
    Pages I-X
  2. Damian Valdés-Santiago, Raúl Quintana-Martínez, Ángela León-Mecías, Marta Lourdes Baguer Díaz-Romañach
    Pages 1-10
  3. Unai Elordi, Luis Unzueta, Ignacio Arganda-Carreras, Oihana Otaegui
    Pages 24-33
  4. Víctor Martínez-Cagigal, Eduardo Santamaría-Vázquez, Roberto Hornero
    Pages 34-43
  5. Jeroen Put, Nick Michiels, Fabian Di Fiore, Frank Van Reeth
    Pages 44-52
  6. Marc Górriz, Albert Aparicio, Berta Raventós, Verónica Vilaplana, Elisa Sayrol, Daniel López-Codina
    Pages 53-62
  7. Zengxi Huang, Zhen-Hua Feng, Fei Yan, Josef Kittler, Xiao-Jun Wu
    Pages 63-72
  8. Kamyar Nazeri, Eric Ng, Mehran Ebrahimi
    Pages 85-94
  9. Nerea Aranjuelo, Luis Unzueta, Ignacio Arganda-Carreras, Oihana Otaegui
    Pages 95-105
  10. Claudia Marcela Ospina Mosquera, Octavio José Salcedo Parra, Miguel J. Espitia R.
    Pages 106-120
  11. Back Matter
    Pages 131-131

About these proceedings


This book constitutes the refereed proceedings of the 10th International Conference on Articulated Motion and Deformable Objects, AMDO 2018, held in Palma de Mallorca, Spain, in July 2018.

The 12 papers presented were carefully reviewed and selected from 26 submissions. The papers address the following topics: advanced computer graphics and immersive videogames; human modeling and animation; human motion analysis and tracking; 3D human reconstruction and recognition; multimodal user interaction and applications; ubiquitous and social computing; design tools; input technology; programming user interfaces; 3D medical deformable models and visualization; deep learning methods for computer vision and graphics; and multibiometric.


artificial intelligence biometrics classification computer vision human computer interaction image coding image processing image segmentation machine learning motion estimation object recognition pose estimation

Editors and affiliations

  • Francisco José Perales
    • 1
  • Josef Kittler
    • 2
  1. 1.UIB – Universitat de les Illes BalearsPalma de MallorcaSpain
  2. 2.University of SurreyGuildfordUnited Kingdom

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