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Image Analysis and Recognition

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

  • Aurélio Campilho
  • Mohamed Kamel

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8814)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 8814)

Table of contents

  1. Front Matter
    Pages I-XXIII
  2. Image Representation and Models

    1. Front Matter
      Pages 1-1
    2. Miguel Amável Pinheiro, Jan Kybic
      Pages 3-11
    3. Paulo J. S. G. Ferreira, Armando J. Pinho
      Pages 12-19
    4. Ilona A. Kowalik-Urbaniak, Davide La Torre, Edward R. Vrscay, Zhou Wang
      Pages 20-29
    5. Armando J. Pinho, Diogo Pratas, Paulo J. S. G. Ferreira
      Pages 30-37
    6. Tomasz Sergej, Radosław Mantiuk
      Pages 38-45
    7. Evanthia Mavridou, James L. Crowley, Augustin Lux
      Pages 46-54
    8. Gábor Németh, Péter Kardos, Kálmán Palágyi
      Pages 65-72
  3. Sparse Representation

    1. Front Matter
      Pages 73-73
    2. S. M. Rolfe, L. L. Cox, L. G. Shapiro, T. C. Cox
      Pages 75-83
    3. Konstantina Fotiadou, Grigorios Tsagkatakis, Panagiotis Tsakalides
      Pages 84-93
    4. Andrews Sobral, Christopher G. Baker, Thierry Bouwmans, El-hadi Zahzah
      Pages 94-103
    5. Yongtao Liu, Hua Yan, Xiushan Nie, Zhen Liu
      Pages 104-111
    6. Suk-Ho Lee, Paul Oh, Moon Gi Kang
      Pages 112-120
  4. Image Restoration and Enhancement

    1. Front Matter
      Pages 129-129
    2. Fernando C. Monteiro, José Rufino, Vasco Cadavez
      Pages 141-149
    3. Buda Bajić, Joakim Lindblad, Nataša Sladoje
      Pages 150-158
    4. A. Alsam, H. J. Rivertz
      Pages 159-166
    5. Daniel Otero, Edward R. Vrscay
      Pages 167-176
  5. Feature Detection and Image Segmentation

    1. Front Matter
      Pages 177-177
    2. Jose-Antonio Pérez-Carrasco, Begoña Acha-Piñero, Carmen Serrano-Gotarredona, Theo Gevers
      Pages 179-186
    3. Aymen Sellaouti, Yasmina Jaâfra, Atef Hamouda
      Pages 187-197
    4. Cheng Wan, Yiquan Wu, Jun Sato
      Pages 198-206
    5. Maria De Marsico, Michele Nappi, Daniel Riccio
      Pages 215-223
    6. Sara Memar, Riadh Ksantini, Boubakeur Boufama
      Pages 224-233
  6. Classification and Learning Methods

    1. Front Matter
      Pages 235-235
    2. Jingjing Deng, Xianghua Xie, Shangming Zhou
      Pages 237-245
    3. Adriano Mendes Gil, Cícero Ferreira Fernandes Costa Filho, Marly Guimarães Fernandes Costa
      Pages 246-255
    4. Amira Ragab, Celine Craye, Mohamed S. Kamel, Fakhri Karray
      Pages 256-265
    5. Carlos Mera, Mauricio Orozco-Alzate, John Branch
      Pages 266-273
    6. Jordi Mansanet, Alberto Albiol, Roberto Paredes, Mauricio Villegas, Antonio Albiol
      Pages 274-281
    7. Telmo Amaral, Luís M. Silva, Luís A. Alexandre, Chetak Kandaswamy, Joaquim Marques de Sá, Jorge M. Santos
      Pages 290-300
    8. Kelwin Fernandes, Pedro F. B. Silva, Lucian Ciobanu, Paulo Fonseca
      Pages 301-308
    9. Tonghua Su, Songze Li, Peijun Ma, Shengchun Deng, Guangsheng Liang
      Pages 309-319
    10. Bilal Hadjadji, Youcef Chibani, Hassiba Nemmour
      Pages 320-328
    11. Péter Bodnár, László G. Nyúl
      Pages 338-345
  7. Document Image Analysis

    1. Front Matter
      Pages 347-347
    2. Rafi Cohen, Itshak Dinstein, Jihad El-Sana, Klara Kedem
      Pages 349-358
    3. Saumya Jetley, Kapil Mehrotra, Atish Vaze, Swapnil Belhe
      Pages 359-368
    4. Irina Rabaev, Itshak Dinstein, Jihad El-Sana, Klara Kedem
      Pages 369-378
    5. Sameh Hamrouni, Florence Cloppet, Nicole Vincent
      Pages 387-394
    6. Chinthaka Premachandra, H. Waruna H. Premachandra, Chandana D. Parape, Hiroharu Kawanaka
      Pages 395-402

Other volumes

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

About these proceedings

Introduction

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.

Keywords

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 https://doi.org/10.1007/978-3-319-11758-4
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-11757-7
  • Online ISBN 978-3-319-11758-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site