Computer Vision – ECCV 2012

12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part II

  • Andrew Fitzgibbon
  • Svetlana Lazebnik
  • Pietro Perona
  • Yoichi Sato
  • Cordelia Schmid

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7573)

Table of contents

  1. Front Matter
  2. Poster Session 2

    1. Olga Russakovsky, Yuanqing Lin, Kai Yu, Li Fei-Fei
      Pages 1-15
    2. Kaiming He, Jian Sun
      Pages 16-29
    3. Herve Lombaert, Leo Grady, Xavier Pennec, Nicholas Ayache, Farida Cheriet
      Pages 30-44
    4. Yin Lou, Noah Snavely, Johannes Gehrke
      Pages 45-58
    5. Hilton Bristow, Simon Lucey
      Pages 59-72
    6. Saurabh Singh, Abhinav Gupta, Alexei A. Efros
      Pages 73-86
    7. Andrea Vedaldi, Andrew Zisserman
      Pages 87-100
    8. Congyan Lang, Tam V. Nguyen, Harish Katti, Karthik Yadati, Mohan Kankanhalli, Shuicheng Yan
      Pages 101-115
    9. Boris Schauerte, Rainer Stiefelhagen
      Pages 116-129
    10. Sinisa Todorovic
      Pages 130-143
    11. Dong Huang, Fernando De La Torre
      Pages 144-158
    12. Bingbing Ni, Pierre Moulin, Shuicheng Yan
      Pages 173-187
    13. Séverine Dubuisson, Christophe Gonzales
      Pages 188-201
    14. Mehrtash T. Harandi, Conrad Sanderson, Richard Hartley, Brian C. Lovell
      Pages 216-229
    15. Zhengxiang Wang, Shenghua Gao, Liang-Tien Chia
      Pages 230-244
    16. Arpit Mittal, Matthew B. Blaschko, Andrew Zisserman, Philip H. S. Torr
      Pages 245-258

About these proceedings

Introduction

The seven-volume set comprising LNCS volumes 7572-7578 constitutes the refereed proceedings of the 12th European Conference on Computer Vision, ECCV 2012, held in Florence, Italy, in October 2012. The 408 revised papers presented were carefully reviewed and selected from 1437 submissions. The papers are organized in topical sections on geometry, 2D and 3D shapes, 3D reconstruction, visual recognition and classification, visual features and image matching, visual monitoring: action and activities, models, optimisation, learning, visual tracking and image registration, photometry: lighting and colour, and image segmentation.

Keywords

Markov random fields activity recognition machine learning object detectors saliency models

Editors and affiliations

  • Andrew Fitzgibbon
    • 1
  • Svetlana Lazebnik
    • 2
  • Pietro Perona
    • 3
  • Yoichi Sato
    • 4
  • Cordelia Schmid
    • 5
  1. 1.Microsoft Research LtdCambridgeUK
  2. 2.Dept. of Computer ScienceUniversity of North CarolinaChapel HillUSA
  3. 3.California Institute of TechnologyPasadenaUSA
  4. 4.Institute of Industrial ScienceThe University of TokyoTokyoJapan
  5. 5.INRIAMontbonnotFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-33709-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-33708-6
  • Online ISBN 978-3-642-33709-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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