2017
DOI: 10.1007/s41095-017-0086-4
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Smooth shapes with spherical topology: Beyond traditional modeling, efficient deformation, and interaction

Abstract: Existing shape models with spherical topology are typically designed either in the discrete domain using interpolating polygon meshes or in the continuous domain using smooth but non-interpolating schemes such as subdivision or NURBS. Both polygon models and subdivision methods require a large number of parameters to model smooth surfaces. NURBS need fewer parameters but have a complicated rational expression and non-uniform shifts in their formulation. We present a new method to construct deformable closed su… Show more

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Cited by 4 publications
(3 citation statements)
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“…The recent work [8] develops an automatic method to deform meshes of arbitrary shapes to obtain their polycube form. The work [9] proposes a smooth, interpolating representation for shapes with spherical topology, and demonstrates its use for surface deformation. Many practical problems involve shape deformation.…”
Section: Related Workmentioning
confidence: 99%
“…The recent work [8] develops an automatic method to deform meshes of arbitrary shapes to obtain their polycube form. The work [9] proposes a smooth, interpolating representation for shapes with spherical topology, and demonstrates its use for surface deformation. Many practical problems involve shape deformation.…”
Section: Related Workmentioning
confidence: 99%
“…The spline-based solution has the additional advantage that the proposed construction can also be applied to curves that are defined by a set of discrete points or landmarks, by simply interpolating them with a linear B-spline. Our framework can be extended to 3-D tensor-product spline surfaces [27] by noting that the inner product between spline surfaces can also be expressed as a matrix-vector multiplication.…”
Section: Conclusion and Summarymentioning
confidence: 99%
“…This is due to the ease of implementation of procedural methods for generating and rendering synthetic landforms [9,[15][16][17][18]. The main disadvantage of this representation is the inability to replicate models with aspherical topology [19]. Complex models are based on volumetric representation.…”
Section: Introductionmentioning
confidence: 99%