Scalar-field-guided adaptive shape deformation and animation

Authors:
Jing Hua;Hong Qin
Affiliations:
State University of New York at Stony Brook, Department of Computer Science, USA;State University of New York at Stony Brook, Department of Computer Science, USA
Venue:
The Visual Computer: International Journal of Computer Graphics
Year:
2004

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Abstract

In this paper, we propose a novel scalar-field-guided adaptive shape deformation (SFD) technique founded on PDE-based flow constraints and scalar fields of implicit functions. Scalar fields are used as embedding spaces. Upon deformation of the scalar field, a corresponding displacement/velocity field will be generated accordingly, which results in a shape deformation of the embedded object. In our system, the scalar field creation, sketching, and manipulation are both natural and intuitive. The embedded model is further enhanced with self-optimization capability. During the deformation we can also enforce various constraints on embedded models. In addition, this technique can be used to ease the animation design. Our experiments demonstrate that the new SFD technique is powerful, efficient, versatile, and intuitive for shape modeling and animation.