Layered construction for deformable animated characters
SIGGRAPH '89 Proceedings of the 16th annual conference on Computer graphics and interactive techniques
Anatomy-based modeling of the human musculature
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Articulated body deformation from range scan data
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model
International Journal of Computer Vision
Finite volume methods for the simulation of skeletal muscle
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
Construction and animation of anatomically based human hand models
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
Efficient synthesis of physically valid human motion
ACM SIGGRAPH 2003 Papers
Reanimating the dead: reconstruction of expressive faces from skull data
ACM SIGGRAPH 2003 Papers
Building efficient, accurate character skins from examples
ACM SIGGRAPH 2003 Papers
Continuous capture of skin deformation
ACM SIGGRAPH 2003 Papers
The space of human body shapes: reconstruction and parameterization from range scans
ACM SIGGRAPH 2003 Papers
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Recently skeletal motion data is obtained from the motion capture and is used for movie and sports. The movie production does not need the skeletal motion data but the body surface data. It is difficult to generate body surface data from only skeletal motion data because muscle deforms according to the skeletal motion. Muscle deformation occurs with arm and leg joint rotation. In this paper, we visualize body surface deformation based on the deformation mechanism that is applicable to human motion according to anatomy based modeling. We propose the method generating body surface by covering the skeletal muscles using a thin film based on the level set method. We demonstrate the effectiveness of the system through the generation of the movement of a body builder by using the proposed system.