Image Analysis and Recognition

11th International Conference, ICIAR 2014, Vilamoura, Portugal, October 22-24, 2014, Proceedings, Part II

  • Aurélio Campilho
  • Mohamed Kamel
Conference proceedings ICIAR 2014

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8815)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 8815)

Table of contents

  1. Front Matter
    Pages I-XXIII
  2. Action, Gestures and Audio-Visual Recognition

    1. Front Matter
      Pages 1-1
    2. Daniel Leightley, Baihua Li, Jamie S. McPhee, Moi Hoon Yap, John Darby
      Pages 12-20
    3. Ahmed Rekik, Achraf Ben-Hamadou, Walid Mahdi
      Pages 21-28
    4. Florian Baumann, Irina Schulz, Bodo Rosenhahn
      Pages 48-57
    5. Ryo Kawahata, Yanrung Wang, Atsushi Shimada, Takayoshi Yamashita, Rin-ichiro Taniguchi
      Pages 58-65
    6. Hoang Anh Nguyen, Jean Meunier
      Pages 66-73
  3. Biometrics

    1. Front Matter
      Pages 75-75
    2. Volker Eiselein, Gleb Sternharz, Tobias Senst, Ivo Keller, Thomas Sikora
      Pages 77-84
    3. Nam-Jun Pyun, Halima Sayah, Nicole Vincent
      Pages 94-101
    4. Ghada Shams, Mohamed Ismail, Sohier Bassiouny, Nagia Ghanem
      Pages 102-111
    5. Foysal Ahmad, Kaushik Roy, Khary Popplewell
      Pages 112-119
  4. Medical Image Processing and Analysis

    1. Front Matter
      Pages 121-121
    2. Tiago Esteves, Ângela Carvalho, Fernando Jorge Monteiro, Pedro Quelhas
      Pages 123-131
    3. Oussama Hadjerci, Adel Hafiane, Pascal Makris, Donatello Conte, Pierre Vieyres, Alain Delbos
      Pages 132-140
    4. Eduardo Somoza, Gabriela Oana Cula, Catherine Correa, Julie B. Hirsch
      Pages 141-150
    5. Adnan Al Alwani, Youssef Chahir, Francois Jouen
      Pages 151-158
    6. Alexandra Nasonova, Andrey Nasonov, Andrey Krylov, Ivan Pechenko, Alexey Umnov, Natalia Makhneva
      Pages 159-166
  5. Medical Image Segmentation

    1. Front Matter
      Pages 175-175
    2. José Rouco, Jorge Novo, Aurélio Campilho
      Pages 177-184
    3. Beatriz Remeseiro, Katherine M. Oliver, Eilidh Martin, Alan Tomlinson, Daniel G. Villaverde, Manuel G. Penedo
      Pages 185-192
    4. Qaisar Abbas, Irene Fondón, Auxiliadora Sarmiento, M. Emre Celebi
      Pages 193-200
    5. Jose-Antonio Pérez Carrasco, Carmen Serrano Gotarredona, Cristina Suárez-Mejías, Begoña Acha-Piñero
      Pages 201-208
    6. Mohamed Amine Larhmam, Sidi Ahmed Mahmoudi, Mohammed Benjelloun, Saïd Mahmoudi, Pierre Manneback
      Pages 209-218
    7. César Veiga, Francisco Calvo, Emilio Paredes-Galán, Pablo Pazos, Carlos Peña, Andrés Íñiguez
      Pages 219-226
    8. J. Novo, J. Rouco, A. Mendonça, Aurélio Campilho
      Pages 227-235
  6. Computer-Aided Diagnosis

    1. Front Matter
      Pages 237-237
    2. Pavel Dvorak, Karel Bartusek
      Pages 239-246
    3. Mickaël Garnier, Maya Alsheh Ali, Johanne Seguin, Nathalie Mignet, Thomas Hurtut, Laurent Wendling
      Pages 247-254
  7. Retinal Image Analysis

    1. Front Matter
      Pages 275-275
    2. F. Sattar, Aurélio Campilho, M. Kamel
      Pages 277-284
    3. Erik Bekkers, Remco Duits, Bart ter Haar Romeny
      Pages 293-302
    4. Anam Usman, Sarmad Abbas Khitran, M. Usman Akram, Yasser Nadeem
      Pages 303-310
    5. Nicolas Lermé, Florence Rossant, Isabelle Bloch, Michel Paques, Edouard Koch
      Pages 311-320
    6. Carla Pereira, Diana Veiga, Luís Gonçalves, Manuel Ferreira
      Pages 321-328
    7. M. Usman Akram, Sarmad Abbas Khitran, Anam Usman, Ubaid ullah Yasin
      Pages 329-336
    8. Ana González-López, Marcos Ortega, Manuel G. Penedo, Pablo Charlón
      Pages 337-345
  8. 3D Imaging

    1. Front Matter
      Pages 347-347
    2. Lu Lou, Yonghuai Liu, Jiwan Han, John H. Doonan
      Pages 349-356
    3. Diana Werner, Ayoub Al-Hamadi, Philipp Werner
      Pages 357-364
    4. Gang Hu, Derek Reilly, Ben Swinden, Qigang Gao
      Pages 365-373
    5. Alejandro Rituerto, Roberto Manduchi, Ana C. Murillo, J. J. Guerrero
      Pages 374-382

Other volumes

  1. 11th International Conference, ICIAR 2014, Vilamoura, Portugal, October 22-24, 2014, Proceedings, Part I
  2. Image Analysis and Recognition
    11th International Conference, ICIAR 2014, Vilamoura, Portugal, October 22-24, 2014, Proceedings, Part II

About these proceedings


The two volumes LNCS 8814 and 8815 constitute the thoroughly refereed proceedings of the 11th International Conference on Image Analysis and Recognition, ICIAR 2014, held in Vilamoura, Portugal, in October 2014. The 107 revised full papers presented were carefully reviewed and selected from 177 submissions. The papers are organized in the following topical sections: image representation and models; sparse representation; image restoration and enhancement; feature detection and image segmentation; classification and learning methods; document image analysis; image and video retrieval; remote sensing; applications; action, gestures and audio-visual recognition; biometrics; medical image processing and analysis; medical image segmentation; computer-aided diagnosis; retinal image analysis; 3D imaging; motion analysis and tracking; and robot vision.


adaptive classification automated image processing biomedical imaging classification clustering deep learning human-computer-interaction multi-biometrics object recognition optimization pattern recognition prototype learning robot vision stereo vision supervised learning support vector machine unconstrained optimization

Editors and affiliations

  • Aurélio Campilho
    • 1
  • Mohamed Kamel
    • 2
  1. 1.Faculty of EngineeringUniversity of PortoPortoPortugal
  2. 2.Dept. of Electrical and Computer Eng.University of WaterlooWaterlooCanada

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-319-11754-6
  • Online ISBN 978-3-319-11755-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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