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Advanced Concepts for Intelligent Vision Systems

20th International Conference, ACIVS 2020, Auckland, New Zealand, February 10–14, 2020, Proceedings

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Jacques Blanc-Talon

    1. DGA, Paris, France

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  2. Patrice Delmas

    1. University of Auckland, Auckland, New Zealand

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  3. Wilfried Philips

    1. Ghent University, Ghent, Belgium

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  4. Dan Popescu

    1. CSIRO, Canberra, Australia

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  5. Paul Scheunders

    1. University of Antwerp, Wilrijk, Belgium

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12002)

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

Included in the following conference series:

Conference proceedings info: ACIVS 2020.

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Table of contents (47 papers)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Deep Learning

    1. Front Matter

      Pages 1-1
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    2. Deep Learning-Based Techniques for Plant Diseases Recognition in Real-Field Scenarios

      • Alvaro Fuentes, Sook Yoon, Dong Sun Park
      Pages 3-14

    3. EpNet: A Deep Neural Network for Ear Detection in 3D Point Clouds

      • Md Mursalin, Syed Mohammed Shamsul Islam
      Pages 15-26

    4. Fire Segmentation in Still Images

      • Jozef Mlích, Karel Koplík, Michal Hradiš, Pavel Zemčík
      Pages 27-37

    5. Region Proposal Oriented Approach for Domain Adaptive Object Detection

      • Hiba Alqasir, Damien Muselet, Christophe Ducottet
      Pages 38-50

    6. Deep Convolutional Network-Based Framework for Melanoma Lesion Detection and Segmentation

      • Adekanmi Adegun, Serestina Viriri
      Pages 51-62

    7. A Novel Framework for Early Fire Detection Using Terrestrial and Aerial 360-Degree Images

      • Panagiotis Barmpoutis, Tania Stathaki
      Pages 63-74

  3. Biomedical Image Analysis

    1. Front Matter

      Pages 75-75
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    2. Segmentation of Phase-Contrast MR Images for Aortic Pulse Wave Velocity Measurements

      • Danilo Babin, Daniel Devos, Ljiljana Platiša, Ljubomir Jovanov, Marija Habijan, Hrvoje Leventić et al.
      Pages 77-86

    3. On the Uncertainty of Retinal Artery-Vein Classification with Dense Fully-Convolutional Neural Networks

      • Azat Garifullin, Lasse Lensu, Hannu Uusitalo
      Pages 87-98

    4. Object Contour Refinement Using Instance Segmentation in Dental Images

      • Trung Van Pham, Yves Lucas, Sylvie Treuillet, Laurent Debraux
      Pages 99-107

    5. Correction of Temperature Estimated from a Low-Cost Handheld Infrared Camera for Clinical Monitoring

      • Evelyn Gutierrez, Benjamin Castañeda, Sylvie Treuillet
      Pages 108-116

    6. Bayesian Feature Pyramid Networks for Automatic Multi-label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio

      • Roman Solovyev, Iaroslav Melekhov, Timo Lesonen, Elias Vaattovaara, Osmo Tervonen, Aleksei Tiulpin
      Pages 117-130

    7. Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography

      • Aleksei Tiulpin, Mikko Finnilä, Petri Lehenkari, Heikki J. Nieminen, Simo Saarakkala
      Pages 131-138

    8. Quadratic Tensor Anisotropy Measures for Reliable Curvilinear Pattern Detection

      • Mohsin Challoob, Yongsheng Gao
      Pages 139-150

  4. Biometrics and Identification

    1. Front Matter

      Pages 1-1
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    2. Exposing Presentation Attacks by a Combination of Multi-intrinsic Image Properties, Convolutional Networks and Transfer Learning

      • Rodrigo Bresan, Carlos Beluzo, Tiago Carvalho
      Pages 153-165

    3. Multiview 3D Markerless Human Pose Estimation from OpenPose Skeletons

      • Maarten Slembrouck, Hiep Luong, Joeri Gerlo, Kurt Schütte, Dimitri Van Cauwelaert, Dirk De Clercq et al.
      Pages 166-178

    4. Clip-Level Feature Aggregation: A Key Factor for Video-Based Person Re-identification

      • Chengjin Lyu, Patrick Heyer-Wollenberg, Ljiljana Platisa, Bart Goossens, Peter Veelaert, Wilfried Philips
      Pages 179-191
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About this book

This book constitutes the proceedings of the 20th INternational Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2020, held in Auckland, New Zealand, in February 2020. The 48 papers presented in this volume were carefully reviewed and selected from a total of 78 submissions. They were organized in topical sections named: deep learning; biomedical image analysis; biometrics and identification; image analysis; image restauration, compression and watermarking; tracking, and mapping and scene analysis. 

Editors and Affiliations

  • DGA, Paris, France

    Jacques Blanc-Talon

  • University of Auckland, Auckland, New Zealand

    Patrice Delmas

  • Ghent University, Ghent, Belgium

    Wilfried Philips

  • CSIRO, Canberra, Australia

    Dan Popescu

  • University of Antwerp, Wilrijk, Belgium

    Paul Scheunders

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