Journal: The Visual Computer

Abbreviation

Vis Comput

Publisher

Springer

Journal Volumes

ISSN

0178-2789
1432-2315

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Publications 1 - 10 of 15
  • Interactive 3D Video Editing
    Item type: Conference Paper
    Waschbüsch, Michael; Würmlin, Stephan; Gross, Markus (2006)
    The Visual Computer
  • Robust interactive cutting based on an adaptive octree simulation mesh
    Item type: Conference Paper
    Seiler, Martin; Steinemann, Denis; Spillmann, Jonas; et al. (2011)
    The Visual Computer
  • A machine learning framework for full-reference 3D shape quality assessment
    Item type: Journal Article
    Yildiz, Zeynep C.; Oztireli, A. Cengiz; Capin, Tolga (2020)
    The Visual Computer
  • Scalable 3D video of dynamic scenes
    Item type: Journal Article
    Waschbüsch, Michael; Würmlin, Stephan; Cotting, Daniel; et al. (2005)
    The Visual Computer
  • A new feature-based method for robust and efficient rigid-body registration of overlapping point clouds
    Item type: Conference Paper
    Oztireli, A. Cengiz; Basdogan, Cagatay (2008)
    The Visual Computer
  • Where are you going? Using human locomotion models for target estimation
    Item type: Journal Article
    Zank, Markus; Kunz, Andreas (2016)
    The Visual Computer
    To explore virtual environments that are larger than the available physical tracking space by real walking, it is necessary to use so-called redirected walking. Redirection techniques allow the user to explore an unlimited virtual environment in a limited tracking space by introducing a small mismatch between a user’s real and virtual movement, thus preventing the user from colliding with the physical walls of the tracking space. Steering algorithms are used to select the most suitable redirection technique at any given time, depending on the geometry of the real and virtual environment. Together with prediction of a user’s future walking path, these algorithms select the best redirection strategy by an optimal control scheme. In this paper, a new approach for the prediction of a person’s locomotion target is presented. We use various models of human locomotion together with a set of possible targets to create a set of expected paths. These paths are then compared to the real path the user already traveled to calculate the probability of a certain target being the one the user is heading for. A new approach for comparing paths with each other is introduced and is compared to three others. For describing the human’s path to a given target, four different models are used and compared. To gather data for the comparison of the models against the real path, a user study was conducted. Based on the results of the user study, the paper concludes with a discussion on the prediction performance of the different approaches.
  • Editorial
    Item type: Other Journal Item
    Wyvill, Brian; Galin, Eric; Pauly, Mark (2008)
    The Visual Computer
  • Efficient image dataset classification difficulty estimation for predicting deep-learning accuracy
    Item type: Journal Article
    Scheidegger, Florian; Istrate, Roxana; Mariani, Giovanni; et al. (2021)
    The Visual Computer
    In the deep-learning community, new algorithms are published at a very fast pace. Therefore, solving an image classification problem for new datasets becomes a challenging task, as it requires to re-evaluate published algorithms and their different configurations in order to find a close to optimal classifier. To facilitate this process, before biasing our decision toward a class of neural networks or running an expensive search over the network space, we propose to estimate the classification difficulty of the dataset. Our method computes a single number that characterizes the dataset difficulty 97x faster than training state-of-the-art networks. The proposed method can be used in combination with network topology and hyper-parameter search optimizers to efficiently drive the search toward promising neural network configurations.
  • The conformal alpha shape filtration
    Item type: Journal Article
    Giesen, Joachim; Cazals, Frederic; Pauly, Mark; et al. (2006)
    The Visual Computer
  • Level-of-detail for cognitive real-time characters
    Item type: Journal Article
    Niederberger, Christoph; Gross, Markus (2005)
    The Visual Computer
Publications 1 - 10 of 15