SCA 18: Posters
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Browsing SCA 18: Posters by Subject "Computing methodologies"
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Item Capturing Floor Exercise from Multiple Panning-Zooming Cameras(The Eurographics Association, 2018) Kobayashi, D.; Yamamoto, Masanobu; Skouras, MelinaBy panning and zooming camera, a system of the multiple cameras can obtain wider range of common field of views. It means that an image based motion capture system can measure bodies in motion of wider range. To do so, a key idea is a camera calibration by matching the panned and zoomed image with a panoramic image of the background. We show an experiment of motion capture of a gymnastic athlete in floor exercise by the calibrated cameras.Item Dilated Temporal Fully-Convolutional Network for Semantic Segmentation of Motion Capture Data(The Eurographics Association, 2018) Noshaba, Cheema; Hosseini, Somayeh; Sprenger, Janis; Herrmann, Erik; Du, Han; Fischer, Klaus; Slusallek, Philipp; Skouras, MelinaSemantic segmentation of motion capture sequences plays a key part in many data-driven motion synthesis frameworks. It is a preprocessing step in which long recordings of motion capture sequences are partitioned into smaller segments. Afterwards, additional methods like statistical modeling can be applied to each group of structurally-similar segments to learn an abstract motion manifold. The segmentation task however often remains a manual task, which increases the effort and cost of generating large-scale motion databases. We therefore propose an automatic framework for semantic segmentation of motion capture data using a dilated temporal fully-convolutional network. Our model outperforms a state-of-the-art model in action segmentation, as well as three networks for sequence modeling. We further show our model is robust against high noisy training labels.Item Local Models for Data Driven Inverse Kinematics of Soft Robots(The Eurographics Association, 2018) Holsten, Fredrik; Darkner, Sune; Engell-Nørregård, Morten P.; Erleben, Kenny; Skouras, MelinaSoft robots are attractive because they have the potential of being safer, faster and cheaper than traditional rigid robots. If we can predict the shape of a soft robot for a given set of control parameters, then we can solve the inverse problem: to find an optimal set of control parameters for a given shape. This work takes a data-driven approach to create multiple local inverse models. This has two benefits: (1) We overcome the reality gap and (2) we gain performance and naive parallelism from using local models. Furthermore, we empirically prove that our approach outperforms a higher order global model.Item Viewpoint Selection for Liquid Animations(The Eurographics Association, 2018) Suzuki, Chihiro; Kanai, Takashi; Skouras, MelinaWe propose a viewpoint selection method for time-varying liquid shapes in order to select the best viewpoint for liquid animations. First, viewpoint evaluation is performed by a combination of three evaluation terms; occlusion term, spatial feature term, and temporal feature term, and the viewpoint having the maximum evaluation value is selected as the “best viewpoint”. Through various experiments, it was confirmed that the results of this method is consistent with human intuition and that it can select viewpoints independent of the resolution of liquid meshes.Item VR Kino+Theatre: From the Ancient Greeks Into the Future of Media(The Eurographics Association, 2018) Velho, Luiz; Carvalho, Leonardo; Lucio, Djalma; Skouras, MelinaVR Kino+Theatre is a media platform that combines theatrical performance with live cinema using virtual reality technology.