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  1. Chapter and Conference Paper

    homer@UniKoblenz: Winning Team of the RoboCup@Home Open Platform League 2018

    We won this year’s RoboCup@Home track in the Open Platform League in Montreal (Canada). The approaches as used for the competition are briefly described in this paper

    Raphael Memmesheimer, Ivanna Mykhalchyshyna in RoboCup 2018: Robot World Cup XXII (2019)

  2. Chapter and Conference Paper

    Adaptive Learning Methods for Autonomous Mobile Manipulation in RoboCup@Home

    Team homer@UniKoblenz has become an integral part of the RoboCup@Home community. As such we would like to share our experience gained during the competitions with new teams. In this paper we describe our appr...

    Raphael Memmesheimer, Viktor Seib, Tobias Evers in RoboCup 2019: Robot World Cup XXIII (2019)

  3. No Access

    Chapter and Conference Paper

    Affordance Origami: Unfolding Agent Models for Hierarchical Affordance Prediction

    Object affordances have moved into the focus of researchers in computer vision and have been shown to augment the performance of object recognition approaches. In this work we address the problem of visual aff...

    Viktor Seib, Malte Knauf, Dietrich Paulus in Computer Vision, Imaging and Computer Grap… (2017)

  4. No Access

    Chapter

    A ROS-Based System for an Autonomous Service Robot

    The Active Vision Group (AGAS) has gained plenty of experience in robotics over the past years. This contribution focuses on the area of service robotics. We present several important components that are cruci...

    Viktor Seib, Raphael Memmesheimer, Dietrich Paulus in Robot Operating System (ROS) (2016)

  5. Chapter and Conference Paper

    Detecting Fine-Grained Affordances with an Anthropomorphic Agent Model

    In this paper we propose an approach to distinguish affordances on a fine-grained scale. We define an anthropomorphic agent model and parameterized affordance models. The agent model is transformed according t...

    Viktor Seib, Nicolai Wojke, Malte Knauf in Computer Vision - ECCV 2014 Workshops (2015)

  6. No Access

    Chapter and Conference Paper

    Fourier Features For Person Detection in Depth Data

    A robust and reliable person detection is crucial for many applications. In the domain of service robots that we focus on, knowing the location of a person is an essential requirement for any meaningful human-...

    Viktor Seib, Guido Schmidt, Michael Kusenbach in Computer Analysis of Images and Patterns (2015)

  7. No Access

    Chapter and Conference Paper

    Pose Estimation and Shape Retrieval with Hough Voting in a Continuous Voting Space

    In this paper we present a method for 3D shape classification and pose estimation. Our approach is related to the recently popular adaptations of Implicit Shape Models to 3D data, but differs in some key aspec...

    Viktor Seib, Norman Link, Dietrich Paulus in Pattern Recognition (2015)

  8. Chapter and Conference Paper

    Team Homer@UniKoblenz — Approaches and Contributions to the RoboCup@Home Competition

    In this paper we present the approaches and contributions of team homer@UniKoblenz that were developed for and applied during the RoboCup@Home competitions. In particular, we highlight the different abstractio...

    Viktor Seib, Stephan Manthe, Raphael Memmesheimer in RoboCup 2015: Robot World Cup XIX (2015)

  9. No Access

    Article

    Distance-based tractography in high angular resolution diffusion MRI

    High angular resolution diffusion imaging (HARDI) is a magnetic resonance imaging (MRI) technique, determining the diffusion of water molecules in tissue in vivo. HARDI is advantageous over the well-known diff...

    Diana Röttger, Viktor Seib, Stefan Müller in The Visual Computer (2011)

  10. Chapter and Conference Paper

    Hierarchical Multi-robot Coordination

    The complexity and variety of household chores creates conflicting demands on the technical design of domestic robots. One solution for this problem is the coordination of several specialized robots based on t...

    Viktor Seib, David Gossow, Sebastian Vetter in RoboCup 2010: Robot Soccer World Cup XIV (2011)

  11. No Access

    Chapter

    MFC: A Morphological Fiber Classification Approach

    Diffusion imaging is a magnetic resonance imaging (MRI) technique that provides the examination of neuronal pathways in vivo. High angular resolution diffusion imaging (HARDI) is able to reconstruct more than ...

    Diana Röttger, Viktor Seib, Stefan Müller in Bildverarbeitung für die Medizin 2011 (2011)