Accurate skin deformation model of forearm using MRI

Kentaro Yamanaka, Shinsuke Nakamura, Shota Kobayashi, Akane Yano, Masashi Shiraishi, Shigeo Morishima

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This paper presents a new methodology for constructing a skin deformation model using MRI and generating accurate skin deformations based on the model. Many methods to generate skin deformations have been proposed and they are classified into three main types. The first type is anatomically based modeling. Anatomically accurate deformations can be reconstructed but computation time is long and controlling generated motion is difficult. In addition, modeling whole body is very difficult. The second is skeleton-subspace deformation (SSD). SSD is easy to implement and fast to compute so it is the most common technique today. However, accurate skin deformations can't be easily realized with SSD. The last type consists of data-driven approaches including example-based methods. In order to construct our model from MRI images, we employ an example-based method. Using examples obtained from medical images, skin deformations can be modeled related to skeleton motions. Retargeting generated motions to other characters is generally difficult with this kind of methods. Kurihara and Miyata realize accurate skin deformations from CT images [Kurihara et al. 2004], but it doesn't mention the possibility of retargeting. With our model, however, generated deformations can be retargeted. Once the model is constructed, accurate skin deformations are easily generated applying our model to a skin mesh. In our experiment, we construct a skin deformation model which reconstructs pronosupination, rotational movement of forearm, and we use range scan data as a skin mesh to apply our model and generate accurate skin deformations.

    Original languageEnglish
    Title of host publicationSIGGRAPH 2009: Posters, SIGGRAPH '09
    Publication statusPublished - 2009
    EventSIGGRAPH 2009: Posters, SIGGRAPH '09 - New Orleans, LA
    Duration: 2009 Aug 32009 Aug 7

    Other

    OtherSIGGRAPH 2009: Posters, SIGGRAPH '09
    CityNew Orleans, LA
    Period09/8/309/8/7

    Fingerprint

    Magnetic resonance imaging
    Skin

    ASJC Scopus subject areas

    • Computer Graphics and Computer-Aided Design
    • Human-Computer Interaction
    • Software

    Cite this

    Yamanaka, K., Nakamura, S., Kobayashi, S., Yano, A., Shiraishi, M., & Morishima, S. (2009). Accurate skin deformation model of forearm using MRI. In SIGGRAPH 2009: Posters, SIGGRAPH '09 [60]

    Accurate skin deformation model of forearm using MRI. / Yamanaka, Kentaro; Nakamura, Shinsuke; Kobayashi, Shota; Yano, Akane; Shiraishi, Masashi; Morishima, Shigeo.

    SIGGRAPH 2009: Posters, SIGGRAPH '09. 2009. 60.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Yamanaka, K, Nakamura, S, Kobayashi, S, Yano, A, Shiraishi, M & Morishima, S 2009, Accurate skin deformation model of forearm using MRI. in SIGGRAPH 2009: Posters, SIGGRAPH '09., 60, SIGGRAPH 2009: Posters, SIGGRAPH '09, New Orleans, LA, 09/8/3.
    Yamanaka K, Nakamura S, Kobayashi S, Yano A, Shiraishi M, Morishima S. Accurate skin deformation model of forearm using MRI. In SIGGRAPH 2009: Posters, SIGGRAPH '09. 2009. 60
    Yamanaka, Kentaro ; Nakamura, Shinsuke ; Kobayashi, Shota ; Yano, Akane ; Shiraishi, Masashi ; Morishima, Shigeo. / Accurate skin deformation model of forearm using MRI. SIGGRAPH 2009: Posters, SIGGRAPH '09. 2009.
    @inproceedings{caf56e24570e413197671bf1b65b6791,
    title = "Accurate skin deformation model of forearm using MRI",
    abstract = "This paper presents a new methodology for constructing a skin deformation model using MRI and generating accurate skin deformations based on the model. Many methods to generate skin deformations have been proposed and they are classified into three main types. The first type is anatomically based modeling. Anatomically accurate deformations can be reconstructed but computation time is long and controlling generated motion is difficult. In addition, modeling whole body is very difficult. The second is skeleton-subspace deformation (SSD). SSD is easy to implement and fast to compute so it is the most common technique today. However, accurate skin deformations can't be easily realized with SSD. The last type consists of data-driven approaches including example-based methods. In order to construct our model from MRI images, we employ an example-based method. Using examples obtained from medical images, skin deformations can be modeled related to skeleton motions. Retargeting generated motions to other characters is generally difficult with this kind of methods. Kurihara and Miyata realize accurate skin deformations from CT images [Kurihara et al. 2004], but it doesn't mention the possibility of retargeting. With our model, however, generated deformations can be retargeted. Once the model is constructed, accurate skin deformations are easily generated applying our model to a skin mesh. In our experiment, we construct a skin deformation model which reconstructs pronosupination, rotational movement of forearm, and we use range scan data as a skin mesh to apply our model and generate accurate skin deformations.",
    author = "Kentaro Yamanaka and Shinsuke Nakamura and Shota Kobayashi and Akane Yano and Masashi Shiraishi and Shigeo Morishima",
    year = "2009",
    language = "English",
    booktitle = "SIGGRAPH 2009: Posters, SIGGRAPH '09",

    }

    TY - GEN

    T1 - Accurate skin deformation model of forearm using MRI

    AU - Yamanaka, Kentaro

    AU - Nakamura, Shinsuke

    AU - Kobayashi, Shota

    AU - Yano, Akane

    AU - Shiraishi, Masashi

    AU - Morishima, Shigeo

    PY - 2009

    Y1 - 2009

    N2 - This paper presents a new methodology for constructing a skin deformation model using MRI and generating accurate skin deformations based on the model. Many methods to generate skin deformations have been proposed and they are classified into three main types. The first type is anatomically based modeling. Anatomically accurate deformations can be reconstructed but computation time is long and controlling generated motion is difficult. In addition, modeling whole body is very difficult. The second is skeleton-subspace deformation (SSD). SSD is easy to implement and fast to compute so it is the most common technique today. However, accurate skin deformations can't be easily realized with SSD. The last type consists of data-driven approaches including example-based methods. In order to construct our model from MRI images, we employ an example-based method. Using examples obtained from medical images, skin deformations can be modeled related to skeleton motions. Retargeting generated motions to other characters is generally difficult with this kind of methods. Kurihara and Miyata realize accurate skin deformations from CT images [Kurihara et al. 2004], but it doesn't mention the possibility of retargeting. With our model, however, generated deformations can be retargeted. Once the model is constructed, accurate skin deformations are easily generated applying our model to a skin mesh. In our experiment, we construct a skin deformation model which reconstructs pronosupination, rotational movement of forearm, and we use range scan data as a skin mesh to apply our model and generate accurate skin deformations.

    AB - This paper presents a new methodology for constructing a skin deformation model using MRI and generating accurate skin deformations based on the model. Many methods to generate skin deformations have been proposed and they are classified into three main types. The first type is anatomically based modeling. Anatomically accurate deformations can be reconstructed but computation time is long and controlling generated motion is difficult. In addition, modeling whole body is very difficult. The second is skeleton-subspace deformation (SSD). SSD is easy to implement and fast to compute so it is the most common technique today. However, accurate skin deformations can't be easily realized with SSD. The last type consists of data-driven approaches including example-based methods. In order to construct our model from MRI images, we employ an example-based method. Using examples obtained from medical images, skin deformations can be modeled related to skeleton motions. Retargeting generated motions to other characters is generally difficult with this kind of methods. Kurihara and Miyata realize accurate skin deformations from CT images [Kurihara et al. 2004], but it doesn't mention the possibility of retargeting. With our model, however, generated deformations can be retargeted. Once the model is constructed, accurate skin deformations are easily generated applying our model to a skin mesh. In our experiment, we construct a skin deformation model which reconstructs pronosupination, rotational movement of forearm, and we use range scan data as a skin mesh to apply our model and generate accurate skin deformations.

    UR - http://www.scopus.com/inward/record.url?scp=73049088108&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=73049088108&partnerID=8YFLogxK

    M3 - Conference contribution

    BT - SIGGRAPH 2009: Posters, SIGGRAPH '09

    ER -