Exact volume preserving skinning with shape control

Rohmer, Damien; Hahmann, Stéfanie; Cani, Marie-Paule

doi:10.1145/1599470.1599481

Cited by 33 publications

(41 citation statements)

References 20 publications

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“…In practice, this mapping takes many forms, including classic techniques such as skeleton-based methods [Magnenat-Thalmann et al 1988], wire deformations [Singh and Fiume 1998], nonlinear functions [Barr 1984], blend shape animation [Lewis et al 2000;Sloan et al 2001], and free-form deformation [Sederberg and Parry 1986], all of which are implemented in some form in modern animation software. Active research in the area of rigging focuses on problems such as automatic rig generation [Baran and Popović 2007], example-based rigging [Sumner et al 2005;Li et al 2010], cage-based methods [Joshi et al 2007;Ju et al 2008;Savoye and Franco 2010], volume preservation [Rohmer et al 2009], and many others. Capell et al [2002] augment purely geometric skeleton-based rigs with physics using coarse finite element simulations, while McAdams et al [2011] obtain impressive performance using a corotational formulation on hexahedral lattices for a similar problem setting.…”

Section: Related Workmentioning

confidence: 99%

Rig-space physics

et al. 2012

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Figure 1: A result of our method: given a character rig and a set of keyframes for some of its parameters, our method automatically produces animation curves for the remaining parameters by solving the equations of motion in the space of deformations defined by the rig. The resulting motion is physically plausible, maintains the original artistic intent, and is easily editable. AbstractWe present a method that brings the benefits of physics-based simulations to traditional animation pipelines. We formulate the equations of motions in the subspace of deformations defined by an animator's rig. Our framework fits seamlessly into the workflow typically employed by artists, as our output consists of animation curves that are identical in nature to the result of manual keyframing. Artists can therefore explore the full spectrum between handcrafted animation and unrestricted physical simulation. To enhance the artist's control, we provide a method that transforms stiffness values defined on rig parameters to a non-homogeneous distribution of material parameters for the underlying FEM model. In addition, we use automatically extracted high-level rig parameters to intuitively edit the results of our simulations, and also to speed up computation. To demonstrate the effectiveness of our method, we create compelling results by adding rich physical motions to coarse input animations. In the absence of artist input, we create realistic passive motion directly in rig space.

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Section: Related Workmentioning

confidence: 99%

Rig-space physics

et al. 2012

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“…Ju and colleagues [2008] make this approach more practical for rigging by introducing reusable cage-based deformers. Other important properties of character deformation include volume preservation and avoiding self-intersections [Angelidis and Singh 2007;Rohmer et al 2009]. Our elastic energy also encourages local volume preservation, however our simple swing/twist deformer does not guarantee intersection-free results.…”

Section: Related Workmentioning

confidence: 99%

Elasticity-inspired deformers for character articulation

Kavan

Sorkine

2012

ACM Trans. Graph.

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a) (b) (c) (d) (e) BBW Our method Our method LBS DQS Figure 1: Previous automatic weighting schemes, such as bounded biharmonic weights (BBW) are deformation-agnostic, whereas our method optimizes weights to minimize shape distortion. Combined with our joint-based deformers, we achieve higher-quality results than both linear blend (LBS) and dual quaternion skinning (DQS). Our technique requires no additional user input and its speed is competitive to linear skinning. AbstractCurrent approaches to skeletally-controlled character articulation range from real-time, closed-form skinning methods to offline, physically-based simulation. In this paper, we seek a closed-form skinning method that approximates nonlinear elastic deformations well while remaining very fast. Our contribution is two-fold: (1) we optimize skinning weights for the standard linear and dual quaternion skinning techniques so that the resulting deformations minimize an elastic energy function. We observe that this is not sufficient to match the visual quality of the original elastic deformations and therefore, we develop (2) a new skinning method based on the concept of joint-based deformers. We propose a specific deformer which is visually similar to nonlinear variational deformation methods. Our final algorithm is fully automatic and requires little or no input from the user other than a rest-pose mesh and a skeleton. The runtime complexity requires minimal memory and computational overheads compared to linear blend skinning, while producing higher quality deformations than both linear and dual quaternion skinning.

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“…13). In this application, we use the software of Rohmer et al that computes constant volume deformation [18] to get an object deformation that is visually realistic. When the virtual hand gets close to the object and the user bends the first three fingers (the thumb, the index and the middle), the area of the object close to the virtual hand changes color, meaning the object is grasped in this area.…”

Section: Examples Of Grasping Actionsmentioning

confidence: 99%

Design of an Immersive Peripheral for Object Grasping

Chardonnet

́on

2010

Volume 3: 30th Computers and Information in Engineering Conference, Parts a and B

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During product development processes, simulations involving user's grasping operations are of increasing interest to incorporate more quantitative information in DFA (Design For Assembly) or immersive simulations. We present several prototypes of an immersive peripheral device for controlling a virtual hand with fine dexterity. These prototypes are derived from the analysis of a grasping action to define the structure and main features of this device. The prototypes, as easy to manipulate as a computer mouse, enable the simultaneous control of a large number of degrees of freedom (dofs). The design issues, where physical phenomena, physiological behavior and device structure are all tightly combined and significantly influence the overall interaction, are reviewed. These issues include the generation of dofs, monitoring kinematics, force reduction during virtual hand and finger movements, and the influence of device design, sensor types and their placement on the interaction and on the range of configurations that can be achieved for grasping tasks, dexterity, and performance. Examples of grasping tasks show the effect of these immersive devices to reach user-friendly and efficient interactions with objects bringing new insight to the interaction with virtual products.

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Exact volume preserving skinning with shape control

Abstract: Abstract

Cited by 33 publications

References 20 publications

Rig-space physics

Rig-space physics

Elasticity-inspired deformers for character articulation

Design of an Immersive Peripheral for Object Grasping

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