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Computer Vision Systems

10th International Conference, ICVS 2015, Copenhagen, Denmark, July 6-9, 2015, Proceedings

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Lazaros Nalpantidis

    1. Aalborg University, Copenhagen, Denmark

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  2. Volker Krüger

    1. Aalborg University, Copenhagen, Denmark

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  3. Jan-Olof Eklundh

    1. Royal Institute of Technology - KTH, Stockholm, Sweden

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  4. Antonios Gasteratos

    1. Democritus University of Thrace, Xanthi, Greece

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  • Up-to-date results
  • Fast track conference proceedings
  • State-of-the-art report
  • Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9163)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ICVS 2015.

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About this book

This book constitutes the refereed proceedings of the 10th International Conference on Computer Vision Systems, ICVS 2015, held in Copenhagen, Denmark, in July 2015. The 48 papers presented were carefully reviewed and selected from 92 submissions. The paper are organized in topical sections on biological and cognitive vision; hardware-implemented and real-time vision systems; high-level vision; learning and adaptation; robot vision; and vision systems applications.

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Table of contents (48 papers)

  1. Front Matter

    Pages I-XV
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  2. Biological and Cognitive Vision

    1. Front Matter

      Pages 1-1
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    2. Comparison of Statistical Features for Medical Colour Image Classification

      • Cecilia Di Ruberto, Giuseppe Fodde, Lorenzo Putzu
      Pages 3-13

    3. Improving FREAK Descriptor for Image Classification

      • Cristina Hilario Gomez, Kartheek Medathati, Pierre Kornprobst, Vittorio Murino, Diego Sona
      Pages 14-23

    4. Arabic-Latin Offline Signature Recognition Based on Shape Context Descriptor

      • Ahmed M. Omar, Nagia M. Ghanem, Mohamed A. Ismail, Sahar M. Ghanem
      Pages 24-33

    5. Saliency-Guided Object Candidates Based on Gestalt Principles

      • Thomas Werner, Germán Martín-García, Simone Frintrop
      Pages 34-44

    6. Person Re-identification Based on Multi-directional Saliency Metric Learning

      • Zhonghua Huo, Ying Chen, Chunjian Hua
      Pages 45-55

    7. Sleep Pose Recognition in an ICU Using Multimodal Data and Environmental Feedback

      • Carlos Torres, Scott D. Hammond, Jeffrey C. Fried, B. S. Manjunath
      Pages 56-66

  3. Hardware-Implemented and Real-Time Vision Systems

    1. Front Matter

      Pages 67-67
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    2. A Flexible High-Resolution Real-Time Low-Power Stereo Vision Engine

      • Stefan K. Gehrig, Reto Stalder, Nicolai Schneider
      Pages 69-79

    3. Real Time Vision System for Obstacle Detection and Localization on FPGA

      • Ali Alhamwi, Bertrand Vandeportaele, Jonathan Piat
      Pages 80-90

    4. Bayesian Formulation of Gradient Orientation Matching

      • Håkan Ardö, Linus Svärm
      Pages 91-103

    5. Can Speedup Assist Accuracy? An On-Board GPU-Accelerated Image Georeference Method for UAVs

      • Loukas Bampis, Evangelos G. Karakasis, Angelos Amanatiadis, Antonios Gasteratos
      Pages 104-114

  4. High-Level Vision

    1. Front Matter

      Pages 115-115
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    2. Surface Reconstruction from Intensity Image Using Illumination Model Based Morphable Modeling

      • Zhi Yang, Varun Chandola
      Pages 117-127

    3. Learning Appearance Features for Pain Detection Using the UNBC-McMaster Shoulder Pain Expression Archive Database

      • Henrik Pedersen
      Pages 128-136

    4. How Good Is Kernel Descriptor on Depth Motion Map for Action Recognition

      • Thanh-Hai Tran, Van-Toi Nguyen
      Pages 137-146

    5. An Informative Logistic Regression for Cross-Domain Image Classification

      • Guangtang Zhu, Hanfang Yang, Lan Lin, Guichun Zhou, Xiangdong Zhou
      Pages 147-156

    6. Robust Facial Feature Localization using Data-Driven Semi-supervised Learning Approach

      • Yoon Young Kim, Sung Jin Hong, Ji Hye Rhee, Mi Young Nam, Phill Kyu Rhee
      Pages 157-166

    7. Quantitative Analysis of Surface Reconstruction Accuracy Achievable with the TSDF Representation

      • Diana Werner, Philipp Werner, Ayoub Al-Hamadi
      Pages 167-176
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Other volumes

  1. Computer Vision Systems

Editors and Affiliations

  • Aalborg University, Copenhagen, Denmark

    Lazaros Nalpantidis, Volker Krüger

  • Royal Institute of Technology - KTH, Stockholm, Sweden

    Jan-Olof Eklundh

  • Democritus University of Thrace, Xanthi, Greece

    Antonios Gasteratos

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