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Pattern Recognition

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

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Michael Cree

    1. University of Waikato, Hamilton, New Zealand

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  2. Fay Huang

    1. National Ilan University, Yilan, Taiwan

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  3. Junsong Yuan

    1. State University of New York at Buffalo, Buffalo, USA

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  4. Wei Qi Yan

    1. Auckland University of Technology, Auckland, New Zealand

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

Included in the following conference series:

Conference proceedings info: ACPR 2019.

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Table of contents (23 papers)

  1. Front Matter

    Pages i-xiii
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  2. Computer Vision for Modern Vehicles

    1. Front Matter

      Pages 1-1
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    2. Lane Detection Based on Histogram of Oriented Vanishing Points

      • Shizeng Chen, Bijun Li, Yuan Guo, Jian Zhou
      Pages 3-11

    3. Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles

      • Dong Cao, Lisha Xu
      Pages 12-19

    4. Paved and Unpaved Road Segmentation Using Deep Neural Network

      • Dabeen Lee, Seunghyun Kim, Hongjun Lee, Chung Choo Chung, Whoi-Yul Kim
      Pages 20-28

    5. Image Scene Conversion Algorithm Based on Generative Adversarial Networks

      • Honggang Xie, Jinsheng Xiao, Junfeng Lei, Wenjuan Xie, Reinhard Klette
      Pages 29-36

    6. An Embedded Real-Time Monocular SLAM System Utilizing a Dynamically Reconfigurable Processor

      • Koki Kawashima, Koyo Katsura
      Pages 37-46

    7. Writer Identification Based on Combination of Bag of Words Model and Multiple Classifiers

      • 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
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    2. Vehicle-Related Scene Understanding Using Deep Learning

      • Xiaoxu Liu, Minh Neuyen, Wei Qi Yan
      Pages 61-73

    3. Spatiotemporal Saliency Based Multi-stream Networks for Action Recognition

      • Zhenbing Liu, Zeya Li, Ming Zong, Wanting Ji, Ruili Wang, Yan Tian
      Pages 74-84

    4. Attention Guided Unsupervised Image-to-Image Translation with Progressively Growing Strategy

      • Yuchen Wu, Runtong Zhang, Keiji Yanai
      Pages 85-99

    5. Human Motion Generation Based on GAN Toward Unsupervised 3D Human Pose Estimation

      • Sasuke Yamane, Hirotake Yamazoe, Joo-Ho Lee
      Pages 100-109

    6. vi-MoCoGAN: A Variant of MoCoGAN for Video Generation of Human Hand Gestures Under Different Viewpoints

      • Thanh-Hai Tran, Viet-Dung Bach, Huong-Giang Doan
      Pages 110-123

  4. Image and Pattern Analysis for Multidisciplinary Computational Anatomy

    1. Front Matter

      Pages 125-125
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    2. Weakly Supervised Domain Adaptation with Point Supervision in Histopathological Image Segmentation

      • Shun Obikane, Yoshimitsu Aoki
      Pages 127-140

    3. Blood Vessel Enhancement in Liver Region from a Sequence of Angiograms Taken under Free Breathing

      • Morio Kawabe, Yuri Kokura, Takashi Ohnishi, Kazuya Nakano, Hideyuki Kato, Yoshihiko Ooka et al.
      Pages 141-149

    4. Real-Time Morphing of the Visible Man Liver with Intrahepatic Vasculatures

      • Maxime Berg, Changwei Zhang, Harvey Ho
      Pages 150-159

    5. Development of 3D Physiological Simulation and Education Software for Pregnant Women

      • Aurélien Bourgais, Sarah Ancé, Harvey Ho
      Pages 160-168

    6. Resolution Conversion of Volumetric Array Data for Multimodal Medical Image Analysis

      • Kento Hosoya, Kouki Nozawa, Atsushi Imiya
      Pages 169-183
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Other volumes

  1. Pattern Recognition

  2. Pattern Recognition

  3. Pattern Recognition

Keywords

About this book

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. 


Editors and Affiliations

  • University of Waikato, Hamilton, New Zealand

    Michael Cree

  • National Ilan University, Yilan, Taiwan

    Fay Huang

  • State University of New York at Buffalo, Buffalo, USA

    Junsong Yuan

  • Auckland University of Technology, Auckland, New Zealand

    Wei Qi Yan

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