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Computer Vision -- ECCV 2014

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

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

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8690)

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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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.

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Keywords

Table of contents (54 papers)

  1. Front Matter

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  2. Learning and Inference (continued)

    1. Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment

      • Jie Zhang, Shiguang Shan, Meina Kan, Xilin Chen
      Pages 1-16

    2. From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices

      • Mehrtash T. Harandi, Mathieu Salzmann, Richard Hartley
      Pages 17-32

    3. Pose Machines: Articulated Pose Estimation via Inference Machines

      • Varun Ramakrishna, Daniel Munoz, Martial Hebert, James Andrew Bagnell, Yaser Sheikh
      Pages 33-47

  3. Poster Session 2

    1. Piecewise-Planar StereoScan:Structure and Motion from Plane Primitives

      • Carolina Raposo, Michel Antunes, Joao P. Barreto
      Pages 48-63

    2. Nonrigid Surface Registration and Completion from RGBD Images

      • Weipeng Xu, Mathieu Salzmann, Yongtian Wang, Yue Liu
      Pages 64-79

    3. Unsupervised Dense Object Discovery, Detection, Tracking and Reconstruction

      • Lu Ma, Gabe Sibley
      Pages 80-95

    4. Know Your Limits: Accuracy of Long Range Stereoscopic Object Measurements in Practice

      • Peter Pinggera, David Pfeiffer, Uwe Franke, Rudolf Mester
      Pages 96-111

    5. As-Rigid-As-Possible Stereo under Second Order Smoothness Priors

      • Chi Zhang, Zhiwei Li, Rui Cai, Hongyang Chao, Yong Rui
      Pages 112-126

    6. Real-Time Minimization of the Piecewise Smooth Mumford-Shah Functional

      • Evgeny Strekalovskiy, Daniel Cremers
      Pages 127-141

    7. A MAP-Estimation Framework for Blind Deblurring Using High-Level Edge Priors

      • Yipin Zhou, Nikos Komodakis
      Pages 142-157

    8. Efficient Color Constancy with Local Surface Reflectance Statistics

      • Shaobing Gao, Wangwang Han, Kaifu Yang, Chaoyi Li, Yongjie Li
      Pages 158-173

    9. A Contrast Enhancement Framework with JPEG Artifacts Suppression

      • Yu Li, Fangfang Guo, Robby T. Tan, Michael S. Brown
      Pages 174-188

    10. Radial Bright Channel Prior for Single Image Vignetting Correction

      • Hojin Cho, Hyunjoon Lee, Seungyong Lee
      Pages 189-202

    11. Tubular Structure Filtering by Ranking Orientation Responses of Path Operators

      • Odyssée Merveille, Hugues Talbot, Laurent Najman, Nicolas Passat
      Pages 203-218

    12. Optimization-Based Artifact Correction for Electron Microscopy Image Stacks

      • Samaneh Azadi, Jeremy Maitin-Shepard, Pieter Abbeel
      Pages 219-235

    13. Metric-Based Pairwise and Multiple Image Registration

      • Qian Xie, Sebastian Kurtek, Eric Klassen, Gary E. Christensen, Anuj Srivastava
      Pages 236-250

    14. Canonical Correlation Analysis on Riemannian Manifolds and Its Applications

      • Hyunwoo J. Kim, Nagesh Adluru, Barbara B. Bendlin, Sterling C. Johnson, Baba C. Vemuri, Vikas Singh
      Pages 251-267

    15. Scalable 6-DOF Localization on Mobile Devices

      • Sven Middelberg, Torsten Sattler, Ole Untzelmann, Leif Kobbelt
      Pages 268-283

    16. On Mean Pose and Variability of 3D Deformable Models

      • Benjamin Allain, Jean-Sébastien Franco, Edmond Boyer, Tony Tung
      Pages 284-297
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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

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

  • KU Leuven, ESAT - PSI, iMinds, 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 II

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

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-319-10605-2

  • Publisher: Springer Cham

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

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Softcover ISBN: 978-3-319-10604-5Published: 22 September 2014

  • eBook ISBN: 978-3-319-10605-2Published: 14 August 2014

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXVIII, 854

  • Number of Illustrations: 357 b/w illustrations

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

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