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Pattern Recognition

ACPR 2019 Workshops, Auckland, New Zealand, November 26, 2019, Proceedings

  • Michael Cree
  • Fay Huang
  • Junsong Yuan
  • Wei Qi Yan
Conference proceedings ACPR 2019
  • 787 Downloads

Part of the Communications in Computer and Information Science book series (CCIS, volume 1180)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Computer Vision for Modern Vehicles

    1. Front Matter
      Pages 1-1
    2. Shizeng Chen, Bijun Li, Yuan Guo, Jian Zhou
      Pages 3-11
    3. Dabeen Lee, Seunghyun Kim, Hongjun Lee, Chung Choo Chung, Whoi-Yul Kim
      Pages 20-28
    4. Honggang Xie, Jinsheng Xiao, Junfeng Lei, Wenjuan Xie, Reinhard Klette
      Pages 29-36
    5. Ayixiamu Litifu, Yuchen Yan, Jinsheng Xiao, Hao Jiang, Weiqing Yao, Jihua Wang
      Pages 47-57
  3. Advances and Applications on Generative Deep Learning Models

    1. Front Matter
      Pages 59-59
    2. Xiaoxu Liu, Minh Neuyen, Wei Qi Yan
      Pages 61-73
    3. Zhenbing Liu, Zeya Li, Ming Zong, Wanting Ji, Ruili Wang, Yan Tian
      Pages 74-84
    4. Sasuke Yamane, Hirotake Yamazoe, Joo-Ho Lee
      Pages 100-109
  4. Image and Pattern Analysis for Multidisciplinary Computational Anatomy

    1. Front Matter
      Pages 125-125
    2. Morio Kawabe, Yuri Kokura, Takashi Ohnishi, Kazuya Nakano, Hideyuki Kato, Yoshihiko Ooka et al.
      Pages 141-149
    3. Maxime Berg, Changwei Zhang, Harvey Ho
      Pages 150-159
    4. Aurélien Bourgais, Sarah Ancé, Harvey Ho
      Pages 160-168
    5. Kento Hosoya, Kouki Nozawa, Atsushi Imiya
      Pages 169-183
  5. Multi-sensor for Action and Gesture Recognition

    1. Front Matter
      Pages 185-185
    2. Yunpeng Chang, Zhigang Tu, Bin Luo, Qianqing Qin
      Pages 187-195
    3. Huong-Giang Doan, Thanh-Hai Tran, Hai Vu, Thi-Lan Le, Van-Toi Nguyen, Sang Viet Dinh et al.
      Pages 196-210
    4. Fei Han, Dejun Zhang, Yiqi Wu, Zirui Qiu, Longyong Wu, Weilun Huang
      Pages 211-222
    5. A. W. Kempa-Liehr, Jonty Oram, Andrew Wong, Mark Finch, Thor Besier
      Pages 223-231
  6. Towards an Automatic Data Processing Chain for Airborne and Spaceborne Sensors

    1. Front Matter
      Pages 233-233
    2. Winfried Halle, Christian Fischer, Thomas Terzibaschian, Adina Zell, Ralf Reulke
      Pages 235-252
    3. Ralf Reulke, Michael P. Skegg, Rüdiger Hohn
      Pages 253-262
    4. Hongmou Zhang, Dirk Baumbach, Denis Grießbach, Anko Börner
      Pages 263-275
  7. Back Matter
    Pages 277-278

Other volumes

  1. Pattern Recognition
    ACPR 2019 Workshops, Auckland, New Zealand, November 26, 2019, Proceedings
  2. 5th Asian Conference, ACPR 2019, Auckland, New Zealand, November 26–29, 2019, Revised Selected Papers, Part I
  3. 5th Asian Conference, ACPR 2019, Auckland, New Zealand, November 26–29, 2019, Revised Selected Papers, Part II

About these proceedings

Introduction

This volume constitutes the refereed proceedings, presented during the ACPR 2019 Workshops, held in Auckland, New Zealand, in November 2019. 

The 17 full papers and 6 short papers were carefully reviewed and selected out of numerous submissions. The papers are organized according to the topics of the workshops: computer vision for modern vehicles; advances and applications on generative deep learning models; image and pattern analysis for multidisciplinary computational anatomy; multi-sensor for action and gesture recognition; towards the automatic data processing chain for airborne and spaceborne sensors. 

Keywords

computer vision image processing artificial intelligence image analysis machine learning computer systems image segmentation pattern recognition signal processing computer networks Human-Computer Interaction (HCI) image coding object recognition computer hardware image reconstruction

Editors and affiliations

  • Michael Cree
    • 1
  • Fay Huang
    • 2
  • Junsong Yuan
    • 3
  • Wei Qi Yan
    • 4
  1. 1.University of WaikatoHamiltonNew Zealand
  2. 2.National Ilan UniversityYilanTaiwan
  3. 3.State University of New York at BuffaloBuffaloUSA
  4. 4.Auckland University of TechnologyAucklandNew Zealand

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-15-3651-9
  • Copyright Information Springer Nature Singapore Pte Ltd. 2020
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-15-3650-2
  • Online ISBN 978-981-15-3651-9
  • Series Print ISSN 1865-0929
  • Series Online ISSN 1865-0937
  • Buy this book on publisher's site