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Computer Vision -- ECCV 2014

13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part I

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. David Fleet

    1. Department of Computer Science, University of Toronto, Toronto, Canada

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  2. Tomas Pajdla

    1. Faculty of Electrical Engineering, Department of Cybernetics, Czech Technical University in Prague, Prague 6, Czech Republic

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  3. Bernt Schiele

    1. Max-Planck-Institut für Informatik, Saarbrücken, Germany

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  4. Tinne Tuytelaars

    1. PSI, iMinds, KU Leuven, ESAT, Leuven, Belgium

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8689)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: ECCV 2014.

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Table of contents (54 papers)

  1. Front Matter

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  2. Tracking and Activity Recognition

    1. Visual Tracking by Sampling Tree-Structured Graphical Models

      • Seunghoon Hong, Bohyung Han
      Pages 1-16

    2. Tracking Interacting Objects Optimally Using Integer Programming

      • Xinchao Wang, Engin Türetken, François Fleuret, Pascal Fua
      Pages 17-32

    3. Learning Latent Constituents for Recognition of Group Activities in Video

      • Borislav Antic, Björn Ommer
      Pages 33-47

  3. Recognition

    1. Large-Scale Object Classification Using Label Relation Graphs

      • Jia Deng, Nan Ding, Yangqing Jia, Andrea Frome, Kevin Murphy, Samy Bengio et al.
      Pages 48-64

    2. 30Hz Object Detection with DPM V5

      • Mohammad Amin Sadeghi, David Forsyth
      Pages 65-79

    3. Knowing a Good HOG Filter When You See It: Efficient Selection of Filters for Detection

      • Ejaz Ahmed, Gregory Shakhnarovich, Subhransu Maji
      Pages 80-94

    4. Linking People in Videos with “Their” Names Using Coreference Resolution

      • Vignesh Ramanathan, Armand Joulin, Percy Liang, Li Fei-Fei
      Pages 95-110

  4. Poster Session 1

    1. Optimal Essential Matrix Estimation via Inlier-Set Maximization

      • Jiaolong Yang, Hongdong Li, Yunde Jia
      Pages 111-126

    2. UPnP: An Optimal O(n) Solution to the Absolute Pose Problem with Universal Applicability

      • Laurent Kneip, Hongdong Li, Yongduek Seo
      Pages 127-142

    3. 3D Reconstruction of Dynamic Textures in Crowd Sourced Data

      • Dinghuang Ji, Enrique Dunn, Jan-Michael Frahm
      Pages 143-158

    4. 3D Interest Point Detection via Discriminative Learning

      • Leizer Teran, Philippos Mordohai
      Pages 159-173

    5. Pose Locality Constrained Representation for 3D Human Pose Reconstruction

      • Xiaochuan Fan, Kang Zheng, Youjie Zhou, Song Wang
      Pages 174-188

    6. Synchronization of Two Independently Moving Cameras without Feature Correspondences

      • Tiago Gaspar, Paulo Oliveira, Paolo Favaro
      Pages 189-204

    7. Multi Focus Structured Light for Recovering Scene Shape and Global Illumination

      • Supreeth Achar, Srinivasa G. Narasimhan
      Pages 205-219

    8. Coplanar Common Points in Non-centric Cameras

      • Wei Yang, Yu Ji, Jinwei Ye, S. Susan Young, Jingyi Yu
      Pages 220-233

    9. SRA: Fast Removal of General Multipath for ToF Sensors

      • Daniel Freedman, Yoni Smolin, Eyal Krupka, Ido Leichter, Mirko Schmidt
      Pages 234-249

    10. Sub-pixel Layout for Super-Resolution with Images in the Octic Group

      • Boxin Shi, Hang Zhao, Moshe Ben-Ezra, Sai-Kit Yeung, Christy Fernandez-Cull, R. Hamilton Shepard et al.
      Pages 250-264

    11. Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition

      • Jiwen Lu, Gang Wang, Weihong Deng, Pierre Moulin
      Pages 265-280

    12. Read My Lips: Continuous Signer Independent Weakly Supervised Viseme Recognition

      • Oscar Koller, Hermann Ney, Richard Bowden
      Pages 281-296
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Other volumes

  1. Computer Vision – ECCV 2014

  2. Computer Vision – ECCV 2014

  3. Computer Vision – ECCV 2014

  4. Computer Vision – ECCV 2014

  5. Computer Vision – ECCV 2014

  6. Computer Vision – ECCV 2014

  7. Computer Vision – ECCV 2014

  8. Computer Vision - ECCV 2014 Workshops

  9. Computer Vision - ECCV 2014 Workshops

  10. Computer Vision - ECCV 2014 Workshops

  11. Computer Vision - ECCV 2014 Workshops

Keywords

About this book

The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014.
The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions.

Editors and Affiliations

  • Department of Computer Science, University of Toronto, Toronto, Canada

    David Fleet

  • Faculty of Electrical Engineering, Department of Cybernetics, Czech Technical University in Prague, Prague 6, Czech Republic

    Tomas Pajdla

  • Max-Planck-Institut für Informatik, Saarbrücken, Germany

    Bernt Schiele

  • PSI, iMinds, KU Leuven, ESAT, Leuven, Belgium

    Tinne Tuytelaars

Bibliographic Information

  • Book Title: Computer Vision -- ECCV 2014

  • Book Subtitle: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part I

  • Editors: David Fleet, Tomas Pajdla, Bernt Schiele, Tinne Tuytelaars

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-319-10590-1

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Softcover ISBN: 978-3-319-10589-5Published: 22 September 2014

  • eBook ISBN: 978-3-319-10590-1Published: 13 August 2014

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXVIII, 853

  • Number of Illustrations: 361 b/w illustrations

  • Topics: Image Processing and Computer Vision, Pattern Recognition, Artificial Intelligence, Computer Graphics

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