Harmonic 1-form based skeleton extraction from examples

He, Ying; Xian, Xiao; Seah, Hock Soon

doi:10.1016/j.gmod.2008.12.008

Cited by 13 publications

(13 citation statements)

References 39 publications

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“…Here, u satisfies the maximum principle, i.e., it only exhibits maxima and minima at user-specified locations on H. This makes it a convenient and highly controllable tool to guide a meshing process. It has been used in a variety of mesh generation and volumetric parameterization methods [29], [30], as well as in skeleton extraction methods such as [31].…”

Section: Computing 3d Harmonic Functionmentioning

confidence: 99%

Structured Volume Decomposition via Generalized Sweeping

Gao

Martín

Deng

et al. 2016

IEEE Trans. Visual. Comput. Graphics

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In this paper, we introduce a volumetric partitioning strategy based on a generalized sweeping framework to seamlessly partition the volume of an input triangle mesh into a collection of deformed cuboids. This is achieved by a user-designed volumetric harmonic function that guides the decomposition of the input volume into a sequence of two-manifold level sets. A skeletal structure whose corners correspond to corner vertices of a 2D parameterization is extracted for each level set. Corners are placed so that the skeletal structure aligns with features of the input object. Then, a skeletal surface is constructed by matching the skeletal structures of adjacent level sets. The surface sheets of this skeletal surface partition the input volume into the deformed cuboids. The collection of cuboids does not exhibit T-junctions, significantly simplifying the hexahedral mesh generation process, and in particular, it simplifies fitting trivariate B-splines to the deformed cuboids. Intersections of the surface sheets of the skeletal surface correspond to the singular edges of the generated hex-meshes. We apply our technique to a variety of 3D objects and demonstrate the benefit of the structure decomposition in data fitting.

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Section: Computing 3d Harmonic Functionmentioning

confidence: 99%

Structured Volume Decomposition via Generalized Sweeping

Gao

Martín

Deng

et al. 2016

IEEE Trans. Visual. Comput. Graphics

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“…Interested readers are referred to the course by Jacobson et al [Jac14], for a comprehensive overview of existing automatic skinning methods. While some methods derive skinning weights solely from a skeleton and mesh [WL08, DdL14], other solutions require a set of example poses to compute the skeletal structure [DTTS08, HXS09, LD14] or to solve for the optimal skinning weights [WP02, LL11, LD12]. The input set of poses is typically manually generated, which is a significant limitation.…”

Section: Related Workmentioning

confidence: 99%

Animation Setup Transfer for 3D Characters

Avril¹,

Ribet²,

Ghafourzadeh³

et al. 2016

Computer Graphics Forum

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Figure 1: Our approach transfers the animation setup from a rigged source character to target character meshes. Using a geometric correspondence, it retargets the skeleton and the skinning weights to animate the target static meshes. AbstractWe present a general method for transferring skeletons and skinning weights between characters with distinct mesh topologies. Our pipeline takes as inputs a source character rig (consisting of a mesh, a transformation hierarchy of joints, and skinning weights) and a target character mesh. From these inputs, we compute joint locations and orientations that embed the source skeleton in the target mesh, as well as skinning weights to bind the target geometry to the new skeleton. Our method consists of two key steps. We first compute the geometric correspondence between source and target meshes using a semi-automatic method relying on a set of markers. The resulting geometric correspondence is then used to formulate attribute transfer as an energy minimization and filtering problem. We demonstrate our approach on a variety of source and target bipedal characters, varying in mesh topology and morphology. Several examples demonstrate that the target characters behave well when animated with either forward or inverse kinematics. Via these examples, we show that our method preserves subtle artistic variations; spatial relationships between geometry and joints, as well as skinning weight details, are accurately maintained. Our proposed pipeline opens up many exciting possibilities to quickly animate novel characters by reusing existing production assets.

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“…Miscellaneous Instead of contraction or propagation, skeletons can be embedded from training data [4], modified manually, or generated from training poses [14,16] to give improved results: e.g. reeb-graphs [6] can be constructed on a harmonic function of poses to provide pose-invariance [16].…”

Section: Previous Literaturementioning

confidence: 99%

“…reeb-graphs [6] can be constructed on a harmonic function of poses to provide pose-invariance [16]. However, these methods are too expensive in terms of computation and data collection as they require additional poses, or a training database, to generate outputs.…”

Section: Previous Literaturementioning

confidence: 99%

Feature-varying skeletonization

Willcocks

2012

Vis Comput

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Current skeletonization algorithms strive to produce a single centered result which is homotopic and insensitive to surface noise. However, this traditional approach may not well capture the main parts of complex models, and may even produce poor results for applications such as animation. Instead, we approximate model topology through a target feature size ω, where undesired features smaller than ω are smoothed, and features larger than ω are retained into groups called bones. This relaxed feature-varying strategy allows applications to generate robust and meaningful results without requiring additional parameter tuning, even for damaged, noisy, complex, or high genus models.

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Harmonic 1-form based skeleton extraction from examples

Cited by 13 publications

References 39 publications

Structured Volume Decomposition via Generalized Sweeping

Structured Volume Decomposition via Generalized Sweeping

Animation Setup Transfer for 3D Characters

Feature-varying skeletonization

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