Now showing items 21-30 of 30

    • Understanding Spatial Perception and Visual Modes in the Review of Architectural Designs 

      Usman, Muhammad; Haworth, Brandon; Berseth, Glen; Kapadia, Mubbasir; Faloutsos, Petros (ACM, 2017)
      We investigate how a person's perception of space in di erent visual modes relates to common computational spatial measures for environment designs. The three spatial measures, grounded in Space-Syntax analysis, are used ...
    • Regression-Based Locating Landmark on Dynamic Humans 

      Jang, Deok-Kyeong; Lee, Sung-Hee (ACM, 2017)
      We present a novel framework that consists of two-level regressors for finding correlations between human shapes and landmark positions in both body part and holistic scales. To this end, we first develop pose invariant ...
    • VR Kino+Theatre: From the Ancient Greeks Into the Future of Media 

      Velho, Luiz; Carvalho, Leonardo; Lucio, Djalma (The Eurographics Association, 2018)
      VR Kino+Theatre is a media platform that combines theatrical performance with live cinema using virtual reality technology.
    • Viewpoint Selection for Liquid Animations 

      Suzuki, Chihiro; Kanai, Takashi (The Eurographics Association, 2018)
      We 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; ...
    • Capturing Floor Exercise from Multiple Panning-Zooming Cameras 

      Kobayashi, D.; Yamamoto, Masanobu (The Eurographics Association, 2018)
      By 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 ...
    • Latent Motion Manifold with Sequential Auto-Encoders 

      Jang, Deok-Kyeong; Lee, Sung-Hee (The Eurographics Association, 2018)
      We propose the sequential autoencoders for constructing latent motion manifold. Sequential autoencoders minimize the difference between the ground truth motion space distribution and reconstructed motion space distribution ...
    • Untangling Layered Garments: An Implicit Approach 

      Buffet, Thomas; Rohmer, Damien; Cani, Marie-Paule (The Eurographics Association, 2018)
      The efficient animation of layers of garments is a challenging task, as it requires handling collisions and contacts between multiple thin surfaces, which may be difficult to untangle once inter-penetrations have occurred. ...
    • Dilated Temporal Fully-Convolutional Network for Semantic Segmentation of Motion Capture Data 

      Noshaba, Cheema; Hosseini, Somayeh; Sprenger, Janis; Herrmann, Erik; Du, Han; Fischer, Klaus; Slusallek, Philipp (The Eurographics Association, 2018)
      Semantic 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 ...
    • Local Models for Data Driven Inverse Kinematics of Soft Robots 

      Holsten, Fredrik; Darkner, Sune; Engell-Nørregård, Morten P.; Erleben, Kenny (The Eurographics Association, 2018)
      Soft 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 ...