PG2016short

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https://diglib.eg.org/handle/10.2312/2630931

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Browsing PG2016short by Subject "Animation"

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    Dynamic Skin Deformation Simulation Using Musculoskeletal Model and Soft Tissue Dynamics
    (The Eurographics Association, 2016) Murai, Akihiko; Hong, Q. Youn; Yamane, Katsu; Hodgins, Jessica K.; Eitan Grinspun and Bernd Bickel and Yoshinori Dobashi
    Deformation of skin and muscle is essential for bringing an animated character to life. This deformation is difficult to animate in a realistic fashion using traditional techniques because of the subtlety of the skin deformations that must move appropriately for the character design. In this paper, we present an algorithm that generates natural, dynamic, and detailed skin deformation (movement and jiggle) from joint angle data sequences. The algorithm consists of two steps: identification of parameters for a quasi-static muscle model using a musculoskeletal model and a short sequence of skin deformation data, and simulation of dynamic muscle and soft tissue deformation with quasi-static muscle shape and a mass-spring-damper system. We demonstrate our method using skeletal motion capture data of a subject (whose data is not used for training) to create appropriate skin deformations for muscle co-contraction and external impacts. Experimental results show that the simulated skin deformations are quantitatively and qualitatively similar to the measured actual skin deformations.
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    Optimized Route for Crowd Evacuation
    (The Eurographics Association, 2016) Wong, Sai-Keung; Wang, Yu-Shuen; Tang, Pao-Kun; Tsai, Tsung-Yu; Eitan Grinspun and Bernd Bickel and Yoshinori Dobashi
    An evacuation plan helps people move away from an area or a building. To achieve a fast evacuation, we present an algorithm to compute the optimal route for each local region. The idea is to reduce congestion and to maximize the number of evacuees arriving at exits in every time span. Our system considers the crowd distribution, exit locations, and corridor widths when determining the optimal routes. It also simulates crowd movements during the route optimization. To implement this idea, we expect that neighboring crowds who take different evacuation routes should arrive at respective exits nearly at the same time. If this is not the case, our system updates the routes of the slower crowds. Given that crowd simulation is non-linear, the optimal route is computed in an iterative manner. The process repeats until an optimal state is achieved. Experiment results demonstrate the feasibility of our evacuation route optimization.