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Biometric Recognition

12th Chinese Conference, CCBR 2017, Shenzhen, China, October 28-29, 2017, Proceedings

  • Conference proceedings
  • © 2017

Overview

Editors:
  1. Jie Zhou

    1. Tsinghua University, Beijing, China

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  2. Yunhong Wang

    1. Beihang University, Beijing, China

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  3. Zhenan Sun

    1. Institute of Automation, Chinese Academy of Sciences, Beijing, China

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  4. Yong Xu

    1. Computing and Technology, Chinese Academy of Sciences, Beijing, China

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  5. Linlin Shen

    1. Shenzhen University, Shenzhen, China

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  6. Jianjiang Feng

    1. Tsinghua University, Beijing, China

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  7. Shiguang Shan

    1. Chinese Academy of Sciences, Beijing, China

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  8. Yu Qiao

    1. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

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  9. Zhenhua Guo

    1. Graduate School at Shenzhen, Tsinghua University, Shenzhen, China

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  10. Shiqi Yu

    1. Shenzhen University, Shenzhen, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10568)

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

Included in the following conference series:

Conference proceedings info: CCBR 2017.

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Table of contents (80 papers)

  1. Front Matter

    Pages I-XVII
    Download chapter PDF

  2. Face

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Detecting Face with Densely Connected Face Proposal Network

      • Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, Stan Z. Li
      Pages 3-12

    3. Deep Transformation Learning for Depression Diagnosis from Facial Images

      • Yajun Kang, Xiao Jiang, Ye Yin, Yuanyuan Shang, Xiuzhuang Zhou
      Pages 13-22

    4. Comparison and Fusion of Multiple Types of Features for Image-Based Facial Beauty Prediction

      • Fangmei Chen, David Zhang, Cunrui Wang, Xiaodong Duan
      Pages 23-30

    5. Deep Embedding for Face Recognition in Public Video Surveillance

      • Guan Wang, Yu Sun, Ke Geng, Shengguang Li, Wenjing Chen
      Pages 31-39

    6. Random Feature Discriminant for Linear Representation Based Robust Face Recognition

      • Jian-Xun Mi, Xiangbin Ma, Qiankun Fu, Chaowei Zhao, Can Long
      Pages 40-47

    7. Adv-Kin: An Adversarial Convolutional Network for Kinship Verification

      • Qingyan Duan, Lei Zhang, Wei Jia
      Pages 48-57

    8. Max-Feature-Map Based Light Convolutional Embedding Networks for Face Verification

      • Zhou Yang, Meng Jian, Bingkun Bao, Lifang Wu
      Pages 58-65

    9. Three Dimensional Face Recognition via Surface Harmonic Mapping and Deep Learning

      • Xiaofan Wei, Huibin Li, Xianfeng David Gu
      Pages 66-76

    10. 2D-3D Heterogeneous Face Recognition Based on Deep Canonical Correlation Analysis

      • Shupeng Wang, Di Huang, Yunhong Wang, Yuanyan Tang
      Pages 77-85

    11. Age Estimation by Refining Label Distribution in Deep CNN

      • Wanxia Shen, Li Sun, Song Qiu, Qingli Li
      Pages 86-96

    12. Face Recognition via Heuristic Deep Active Learning

      • Ya Li, Keze Wang, Lin Nie, Qing Wang
      Pages 97-107

    13. One-Snapshot Face Anti-spoofing Using a Light Field Camera

      • Xiaohua Xie, Yan Gao, Wei-Shi Zheng, Jianhuang Lai, Junyong Zhu
      Pages 108-117

    14. Content-Independent Face Presentation Attack Detection with Directional Local Binary Pattern

      • Le Qin, Le-Bing Zhang, Fei Peng, Min Long
      Pages 118-126

    15. Matching Depth to RGB for Boosting Face Verification

      • Han Liu, Feixiang He, Qijun Zhao, Xiangdong Fei
      Pages 127-134

    16. Deeply Learned Pore-Scale Facial Features

      • Xiaodong Wang, Yuwei Liang, Xianxian Zeng, Dong Li, Wei Jia
      Pages 135-144

    17. Synthesis and Recognition of Internet Celebrity Face Based on Deep Learning

      • Jiancan Zhou, Guohang Zeng, Jia He, Xi Jia, Linlin Shen
      Pages 145-153

    18. Face Detection with Better Representation Using a Multi-region WR-Inception Network Model

      • Lianping Yang, Yuanyuan Li, Xu Duan, Xiangde Zhang
      Pages 154-161

    19. Coarse and Fine: A New Method for Gender Classification in the Wild

      • Qianbo Jiang, Li Shao, Zhengxi Liu, Qijun Zhao
      Pages 162-171
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  1. Biometric Recognition

Keywords

About this book

Recognition, CCBR 2017, held in Shenzhen, China, in October 2017.
The 15 full papers and 65 poster papers presented in this book were carefully reviewed and selected from 138 submissions. The papers are organized in topical sections on face;
fingerprint, palm-print and vascular biometrics; iris; gesture and gait; emerging biometrics;
voice and speech; video surveillance; feature extraction and classification theory; behavioral
biometrics.

Editors and Affiliations

  • Tsinghua University, Beijing, China

    Jie Zhou, Jianjiang Feng

  • Beihang University, Beijing, China

    Yunhong Wang

  • Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Zhenan Sun

  • Computing and Technology, Chinese Academy of Sciences, Beijing, China

    Yong Xu

  • Shenzhen University, Shenzhen, China

    Linlin Shen, Shiqi Yu

  • Chinese Academy of Sciences, Beijing, China

    Shiguang Shan

  • Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

    Yu Qiao

  • Graduate School at Shenzhen, Tsinghua University, Shenzhen, China

    Zhenhua Guo

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