Proceedings of the 21st Computer Vision Winter Workshop

Luka Čehovin, Rok Mandeljc, Vitomir Štruc (eds.)

Rimske Toplice, Slovenia
February 3-5, 2016

Proceedings of the 21st Computer Vision Winter Workshop
February 3-5, 2016, Rimske Toplice, Slovenia

© Slovenian Pattern Recognition Society, Ljubljana, February 2016
Volume Editors: Luka Čehovin, Rok Mandeljc, Vitomir Štruc
Slovenian Pattern Recognition Society, Ljubljana 2016
Electronic edition
Slovenian Pattern Recognition Society, Ljubljana 2016
© SDRV 2016

CIP - Kataložni zapis o publikaciji
Narodna univerzitetna knjižnica, Ljubljana

COMPUTER Vision Winter Workshop (21 ; 2016 ; Rimske Toplice) 
    Proceedings of the 21st Computer Vision Winter Workshop, Rimske Toplice, Slovenia, February 3-5, 2016 [Elektronski vir] / Luka Čehovin, Rok Mandeljc, Vitomir Štruc (eds.). - Electronic ed. - Ljubljana : Slovenian Pattern Recognition Society, 2016 

ISBN 978-961-90901-7-6 
1. Čehovin, Luka 

Maloprodajna cena: 19,99 €

Message from the program chairs

It is our pleasure and privilege to welcome you to the 21st Computer Vision Winter Workshop (CVWW2016). This year the workshop is organized by the Slovenian Pattern Recognition Society (SPRS), and held in Rimske Toplice, Slovenia, from of February 3rd to February 5th, 2016. We hope that your experience at CVWW is both professionally and personally rewarding!

The Computer Vision Winter Workshop (CVWW) is an annual international meeting of several computer vision research groups, located in Ljubljana, Prague, Vienna, and Graz. The aim of the workshop is to foster interaction and exchange of ideas among researchers and PhD students. The focus of the workshop spans a wide variety of computer vision and pattern recognition topics, such as image analysis, medical imaging, 3D vision, human-computer interaction, vision for robotics, machine learning, as well as applied computer vision and pattern recognition.

CVWW 2016 received a total of 23 submissions from six countries. The paper selection was coordinated by the Program Chairs, and included a rigorous double-blind review process. The international Technical Program Committee consisted of 39 renowned computer vision experts, who conducted the review. Each submission was examined by at least three experts, who were asked to comment on the strengths and weaknesses of the papers and justify their recommendation for accepting or rejecting a submission. The Program Chairs used the reviewers' comments to render the final decision on each paper. As a result of this review process, 8 papers were accepted for oral presentation, and 6 papers were accepted for presentation in the form of a poster. Authors of the accepted posters were also given the opportunity to present their work in the form of short one-minute talks at a designated spotlight session. 8 papers were accepted for presentation at the workshop in the form of invited presentations of on-going work (6 orals and 2 posters), and are not included in the proceedings to avoid conflicts with potential future submissions of the presented material. The Program Chairs would like to thank all reviewers for their high-quality and detailed comments, which served as a valuable source of feedback for all authors, and most of all for their time and effort, which helped to make the CVWW2016 a success.

The workshop program included an invited talk by dr. Mario Fritz (Laboratory for Autonomous Intelligent Systems, Department of Computer Science, University of Freiburg), to whom we thank for his participation. We also extend our thanks to the Slovenian Pattern Recognition Society, through which the workshop was organized.

CVWW 2016 benefits from its sponsors; and we want to acknowledge and thank our supporters from KOLEKTOR and the Faculty of Computer and Information Science for their contributions. To all the sponsors and their representatives in attendance, thank you!

We hope that the 21st iteration of the Computer Vision Winter Workshop is a productive and enjoyable meeting for you and your colleagues, and inspires new ideas that can advance your professional activities.

Welcome and thank you for your participation!

Luka Čehovin, Rok Mandeljc, Vitomir Štruc
CVWW2016 Program Chairs
Ljubljana, Slovenia, January 2016


Program Chairs

  • Luka Čehovin (FRI University of Ljubljana)
  • Rok Mandeljc (FRI, FE University of Ljubljana)
  • Vitomir Štruc (FE University of Ljubljana)

Program Committee

Csaba Beleznai
Horst Bischof
Jan Cech
Ondrej Chum
Ondrej Drbohlav
Boris Flach
Vojtech Franc
Friedrich Fraundorfer
Margrit Gelautz
Michal Havlena
Yll Haxhimusa
Václav Hlaváč
Ines Janusch
Stanislav Kovacic
Matej Kristan
Walter Kropatsch
Vincent Lepetit
Jiri Matas
Martin Matousek
Mirko Navara
Tomas Pajdla
Peter Peer
Roland Perko
Janez Pers
Roman Pfugfelder
Thomas Pock
Rene Ranftl
Daniel Prusa
Peter Roth
Robert Sablatnig
Radim Sara
Walter Scheirer
Alexander Shekhovtsov
Danijel Skocaj
Tomas Svoboda
Peter Ursic
Tomas Vojir
Andreas Wendel
Paul Wohlhart


  1. Towards a Visual Turing Test: Answering Questions on Images (invited talk) [Abstract]
    Mario Fritz
  2. A Longitudinal Diffeomorphic Atlas-Based Tissue Labeling Framework for Fetal Brains using Geodesic Regression [PDF]
    Roxane Licandro*, Georg Langs, Gregor Kasprian, Robert Sablatnig, Daniela Prayer, and Ernst Schwartz (Vienna University of Technology)
  3. Quantitative Comparison of Feature Matchers Implemented in OpenCV3 [PDF]
    Zoltan Pusztai (Eörvös Loránd University) and Levente Hajder* (MTA SZTAKI)
  4. Real-Time Eye Blink Detection using Facial Landmarks [PDF]
    Tereza Soukupova* and Jan Cech (Czech Technical University in Prague)
  5. Solving Dense Image Matching in Real-Time using Discrete-Continuous Optimization [PDF]
    Alexander Shekhovtsov*, Christian Reinbacher, Gottfried Graber, and Thomas Pock (Graz University of Technology)
  6. Touching without vision: terrain perception in sensory deprived environments [PDF]
    Vojtěch Šalanský*, Vladimír Kubelka, Karel Zimmermann, Michal Reinštein, and Tomas Svoboda (Czech Technical University in Prague)
  7. Hessian Interest Points on GPU [PDF]
    Jaroslav Sloup, Jiri Matas, Michal Perdoch, Stepan Obdrzalek* (Czech Technical University in Prague)
  8. BaCoN: Building a Classifier from only N Samples [PDF]
    Georg Waltner*, Michael Opitz, Horst Bischof (Graz University of Technology)
  9. Cuneiform Detection in Vectorized Raster Images [PDF]
    Judith Massa, Bartosz Bogacz*, Susanne Krömker, Hubert Mara (University Heidelberg)
  10. 2D tracking of Platynereis dumerilii worms during spawning [PDF]
    Daniel Pucher*, Walter Kropatsch, Nicole Artner, Stephanie Bannister (Vienna University of Technology)
  11. Significance of Colors in Texture Datasets [PDF]
    Milan Šulc*, Jiri Matas, (Czech Technical University in Prague)
  12. A Novel Concept for Smart Camera Image Stitching [PDF]
    Majid Banaeyan*, Hanna Huber, Walter Kropatsch, Raphael Barth (Vienna University of Technology)
  13. A concept for shape representation with linked local coordinate systems [PDF]
    Manuela Kaindl*, Walter Kropatsch (Vienna University of Technology)
  14. A Computer Vision System for Chess Game Tracking [PDF]
    Can Koray*, Emre Sumer (Başkent University)
  15. Fast L1-based RANSAC for homography estimation [PDF]
    Jonáš Šerých*, Jiri Matas, Ondrej Drbohlav (Czech Technical University in Prague)

  16. Invited talk

    Towards a Visual Turing Test: Answering Questions on Images
    Mario Fritz
    Max Planck Institute for Informatics and Saarland University

    We address the task of automatically answering questions on images by bringing together latest advances from natural language processing and computer vision. In order to quantify progress on this challenging problem, we have established the first benchmark for this challenging problem that can be seen as a modern attempt at a visual turing test. Our first approach to this problem follows a more traditional AI approach, where we combine discrete reasoning with uncertain predictions by a multi-world approach that models uncertainty about the perceived world in a bayesian framework. More recently, we build on the success of deep learning techniques and propose an end-to-end formulation of this problem for which all parts are trained jointly. Looking forward, we see these two approach as two ends of a spectrum ranging from symbolic representations to vector-based embedding that we are currently exploring.


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