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Face and Facial Expression Recognition from Real World Videos

International Workshop, Stockholm, Sweden, August 24, 2014, Revised Selected Papers

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Qiang Ji

    1. Computer and Systems Engineering, Pensselaer Polytechnic Institute, Troy, USA

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  2. Thomas B. Moeslund

    1. Department of Architecture, Design, and Media Technology, Aalborg, Denmark

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  3. Gang Hua

    1. Department of Computer Science, Stevens Institute of Technology, Hoboken, USA

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  4. Kamal Nasrollahi

    1. Department of Architecture, Design, and Media Technology, Aalborg, Denmark

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8912)

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

Included in the following conference series:

Conference proceedings info: FFER 2014.

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Table of contents (12 papers)

  1. Front Matter

    Pages I-X
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  2. Face Recognition

    1. Front Matter

      Pages 1-1
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    2. Probabilistic Elastic Part Model for Real-World Face Recognition

      • Gang Hua
      Pages 3-10

    3. Local Feature Evaluation for a Constrained Local Model Framework

      • Maiya Hori, Shogo Kawai, Hiroki Yoshimura, Yoshio Iwai
      Pages 11-19

    4. Multimodal Face Recognition for Profile Views Based on SIFT and LBP

      • Xiaona Xu, Yue Zhao
      Pages 20-30

  3. Face Alignment and Facial Expression Recognition

    1. Front Matter

      Pages 31-31
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    2. Learning the Face Shape Models for Facial Landmark Detection in the Wild

      • Yue Wu, Qiang Ji
      Pages 33-45

    3. Multimodal Facial Expression Recognition Based on 3D Face Reconstruction from 2D Images

      • Ali Moeini, Hossein Moeini
      Pages 46-57

    4. Facial Expression Recognition Using Facial Graph

      • Sina Mohseni, Niloofar Zarei, Ehsan Miandji, Gholamreza Ardeshir
      Pages 58-66

  4. Other Applications of Facial Images

    1. Front Matter

      Pages 67-67
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    2. Measurement of Facial Dynamics for Soft Biometrics

      • Hamdi DibeklioÄŸlu, Albert Ali Salah, Furkan Gürpınar
      Pages 69-84

    3. Personalized Face Reference from Video: Key-Face Selection and Feature-Level Fusion

      • Naser Damer, Timotheos Samartzidis, Alexander Nouak
      Pages 85-98

    4. Scalable Face Retrieval by Simple Classifiers and Voting Scheme

      • Yuzuko Utsumi, Yuji Sakano, Keisuke Maekawa, Masakazu Iwamura, Koichi Kise
      Pages 99-108

    5. Positive/Negative Emotion Detection from RGB-D Upper Body Images

      • Lahoucine Ballihi, Adel Lablack, Boulbaba Ben Amor, Ioan Marius Bilasco, Mohamed Daoudi
      Pages 109-120

    6. Friendly Faces: Weakly Supervised Character Identification

      • Matthew Marter, Simon Hadfield, Richard Bowden
      Pages 121-132

    7. A Comparative Evaluation of Regression Learning Algorithms for Facial Age Estimation

      • Carles Fernández, Ivan Huerta, Andrea Prati
      Pages 133-144

  5. Back Matter

    Pages 145-145
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  1. Face and Facial Expression Recognition from Real World Videos

Keywords

About this book

This book constitutes the thoroughly refereed conference proceedings of the International Workshop on Face and Facial Expression Recognition from Real World Videos in conjunction with the 22nd International Conference on Pattern Recognition held in Stockholm, Sweden, in August 2014. The 11 revised full papers were carefully reviewed and selected from numerous submissions and cover topics such as Face Recognition, Face Alignment, Facial Expression Recognition and Facial Images.

Editors and Affiliations

  • Computer and Systems Engineering, Pensselaer Polytechnic Institute, Troy, USA

    Qiang Ji

  • Department of Architecture, Design, and Media Technology, Aalborg, Denmark

    Thomas B. Moeslund, Kamal Nasrollahi

  • Department of Computer Science, Stevens Institute of Technology, Hoboken, USA

    Gang Hua

Bibliographic Information

  • Book Title: Face and Facial Expression Recognition from Real World Videos

  • Book Subtitle: International Workshop, Stockholm, Sweden, August 24, 2014, Revised Selected Papers

  • Editors: Qiang Ji, Thomas B. Moeslund, Gang Hua, Kamal Nasrollahi

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-319-13737-7

  • Publisher: Springer Cham

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

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Softcover ISBN: 978-3-319-13736-0Published: 30 March 2015

  • eBook ISBN: 978-3-319-13737-7Published: 18 March 2015

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 145

  • Number of Illustrations: 55 b/w illustrations

  • Topics: Computer Science, general

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