SCA 18: Posters

Permanent URI for this collection

https://diglib7.eg.org/handle/10.2312/2632600
17th annual Symposium on Computer Animation (SCA), Paris, France, July 11-13
(for CGF papers see SCA 2018 - CGF 37-Issue 8)
Table of Contents
Posters
Capturing Floor Exercise from Multiple Panning-Zooming Cameras
[full paper Image] [meta data Image]
D. Kobayashi and Masanobu Yamamoto
Latent Motion Manifold with Sequential Auto-Encoders
[full paper Image] [meta data Image]
Deok-Kyeong Jang and Sung-Hee Lee
Dilated Temporal Fully-Convolutional Network for Semantic Segmentation of Motion Capture Data
[full paper Image] [meta data Image]
Cheema Noshaba, Somayeh Hosseini, Janis Sprenger, Erik Herrmann, Han Du, Klaus Fischer, and Philipp Slusallek
Local Models for Data Driven Inverse Kinematics of Soft Robots
[full paper Image] [meta data Image]
Fredrik Holsten, Sune Darkner, Morten P. Engell-Nørregård, and Kenny Erleben
VR Kino+Theatre: From the Ancient Greeks Into the Future of Media
[full paper Image] [meta data Image]
Luiz Velho, Leonardo Carvalho, and Djalma Lucio
Viewpoint Selection for Liquid Animations
[full paper Image] [meta data Image]
Chihiro Suzuki and Takashi Kanai
Untangling Layered Garments: An Implicit Approach
[full paper Image] [meta data Image]
Thomas Buffet, Damien Rohmer, and Marie-Paule Cani

BibTeX (SCA 18: Posters)
@inproceedings{
10.2312:sca.20181183,

booktitle = {
Eurographics/ ACM SIGGRAPH Symposium on Computer Animation - Posters},

editor = {
Skouras, Melina
},
title = {{
Capturing Floor Exercise from Multiple Panning-Zooming Cameras}},

author = {
Kobayashi, D.
 and 
Yamamoto, Masanobu
},
year = {
2018},

publisher = {
The Eurographics Association},


ISSN = {1727-5288},
ISBN = {978-3-03868-070-3},

DOI = {
10.2312/sca.20181183}

}
@inproceedings{
10.2312:sca.20181184,

booktitle = {
Eurographics/ ACM SIGGRAPH Symposium on Computer Animation - Posters},

editor = {
Skouras, Melina
},
title = {{
Latent Motion Manifold with Sequential Auto-Encoders}},

author = {
Jang, Deok-Kyeong
 and 
Lee, Sung-Hee
},
year = {
2018},

publisher = {
The Eurographics Association},


ISSN = {1727-5288},
ISBN = {978-3-03868-070-3},

DOI = {
10.2312/sca.20181184}

}
@inproceedings{
10.2312:sca.20181185,

booktitle = {
Eurographics/ ACM SIGGRAPH Symposium on Computer Animation - Posters},

editor = {
Skouras, Melina
},
title = {{
Dilated Temporal Fully-Convolutional Network for Semantic Segmentation of Motion Capture Data}},

author = {
Noshaba, Cheema
 and 
Hosseini, Somayeh
 and 
Sprenger, Janis
 and 
Herrmann, Erik
 and 
Du, Han
 and 
Fischer, Klaus
 and 
Slusallek, Philipp
},
year = {
2018},

publisher = {
The Eurographics Association},


ISSN = {1727-5288},
ISBN = {978-3-03868-070-3},

DOI = {
10.2312/sca.20181185}

}
@inproceedings{
10.2312:sca.20181186,

booktitle = {
Eurographics/ ACM SIGGRAPH Symposium on Computer Animation - Posters},

editor = {
Skouras, Melina
},
title = {{
Local Models for Data Driven Inverse Kinematics of Soft Robots}},

author = {
Holsten, Fredrik
 and 
Darkner, Sune
 and 
Engell-Nørregård, Morten P.
 and 
Erleben, Kenny
},
year = {
2018},

publisher = {
The Eurographics Association},


ISSN = {1727-5288},
ISBN = {978-3-03868-070-3},

DOI = {
10.2312/sca.20181186}

}
@inproceedings{
10.2312:sca.20181187,

booktitle = {
Eurographics/ ACM SIGGRAPH Symposium on Computer Animation - Posters},

editor = {
Skouras, Melina
},
title = {{
VR Kino+Theatre: From the Ancient Greeks Into the Future of Media}},

author = {
Velho, Luiz
 and 
Carvalho, Leonardo
 and 
Lucio, Djalma
},
year = {
2018},

publisher = {
The Eurographics Association},


ISSN = {1727-5288},
ISBN = {978-3-03868-070-3},

DOI = {
10.2312/sca.20181187}

}
@inproceedings{
10.2312:sca.20181188,

booktitle = {
Eurographics/ ACM SIGGRAPH Symposium on Computer Animation - Posters},

editor = {
Skouras, Melina
},
title = {{
Viewpoint Selection for Liquid Animations}},

author = {
Suzuki, Chihiro
 and 
Kanai, Takashi
},
year = {
2018},

publisher = {
The Eurographics Association},


ISSN = {1727-5288},
ISBN = {978-3-03868-070-3},

DOI = {
10.2312/sca.20181188}

}
@inproceedings{
10.2312:sca.20181189,

booktitle = {
Eurographics/ ACM SIGGRAPH Symposium on Computer Animation - Posters},

editor = {
Skouras, Melina
},
title = {{
Untangling Layered Garments: An Implicit Approach}},

author = {
Buffet, Thomas
 and 
Rohmer, Damien
 and 
Cani, Marie-Paule
},
year = {
2018},

publisher = {
The Eurographics Association},


ISSN = {1727-5288},
ISBN = {978-3-03868-070-3},

DOI = {
10.2312/sca.20181189}

}

Browse

Recent Submissions

Now showing 1 - 8 of 8
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    Frontmatter: ACM SIGGRAPH / Eurographics Symposium of Computer Animation 2018 - Posters
    (The Eurographics Association, 2018) ; Skouras, Melina
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    Capturing Floor Exercise from Multiple Panning-Zooming Cameras
    (The Eurographics Association, 2018) Kobayashi, D.; Yamamoto, Masanobu; Skouras, Melina
    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 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.
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    Latent Motion Manifold with Sequential Auto-Encoders
    (The Eurographics Association, 2018) Jang, Deok-Kyeong; Lee, Sung-Hee; Skouras, Melina
    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 sampled from the latent motion manifold. Our method is based on sequence-to-sequence model for encoding the temporal information of human motion. We also adopt Wasserstein regularizer for matching encoded training distribution to the prior distribution of motion manifold. Our experiments show that randomly sampled points from trained motion manifold distribution become natural and valid motions.
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    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, Melina
    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 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.
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    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, Melina
    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 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.
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    VR Kino+Theatre: From the Ancient Greeks Into the Future of Media
    (The Eurographics Association, 2018) Velho, Luiz; Carvalho, Leonardo; Lucio, Djalma; Skouras, Melina
    VR Kino+Theatre is a media platform that combines theatrical performance with live cinema using virtual reality technology.
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    Viewpoint Selection for Liquid Animations
    (The Eurographics Association, 2018) Suzuki, Chihiro; Kanai, Takashi; Skouras, Melina
    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; 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.
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    Untangling Layered Garments: An Implicit Approach
    (The Eurographics Association, 2018) Buffet, Thomas; Rohmer, Damien; Cani, Marie-Paule; Skouras, Melina
    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. We propose a novel geometric approach, based on implicit surfaces, to robustly handle such situations. At each animation step, our method converts the possibly intersecting garment surfaces to an implicit representation. They are then combined using a new binary operator that guarantees, as output, collision free states of the surfaces. In addition to a precise modeling of contact situations, our method enables to model the relative influence of each cloth layer, based on their relative stiffnesses and thicknesses.