Inverse kinematics for reduced deformable models

Der, Kevin G.; Sumner, Robert W.

doi:10.1145/1179352.1142011

“…IK methods commonly use the inverse Jacobian or cast the problem as an optimization. Mesh-based Inverse Kinematics (MESHIK) considers the problem of finding meaningful mesh deformations that meet specified vertex constrains [Sumner et al 2005;Der et al 2006]. This requires a collection of sample poses, which is often not readily available for complex models.…”

Section: Related Workmentioning

confidence: 99%

Joint-aware manipulation of deformable models

Xu

¹

,

Wang

²

,

Yin

³

et al. 2009

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Complex mesh models of man-made objects often consist of multiple components connected by various types of joints. We propose a joint-aware deformation framework that supports the direct manipulation of an arbitrary mix of rigid and deformable components. First we apply slippable motion analysis to automatically detect multiple types of joint constraints that are implicit in model geometry. For single-component geometry or models with disconnected components, we support user-defined virtual joints. Then we integrate manipulation handle constraints, multiple components, joint constraints, joint limits, and deformation energies into a single volumetric-cell-based space deformation problem. An iterative, parallelized Gauss-Newton solver is used to solve the resulting nonlinear optimization. Interactive deformable manipulation is demonstrated on a variety of geometric models while automatically respecting their multi-component nature and the natural behavior of their joints.

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“…Using a complete set of correspondences between different synthetic models, [39] can transfer the motion of one model to the other. Following a similar line of thinking, [40,9] propose a mesh-based inverse kinematics framework based on pose examples with potential application to mesh animation. Recently, [37] presents a multi-grid technique for efficient deformation of large meshes and [19] presents a framework for performing constrained mesh deformation using gradient domain techniques.…”

Section: Mesh-based Deformation and Animationmentioning

confidence: 99%

Video-based Capturing and Rendering of People

Theobalt

¹

,

Magnor

²

,

Seidel

³

2008

Human Motion

0

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Abstract. The interesting combination of Chapters in this book gives a nice overview of the importance of the analysis of human motion in three different scientific disciplines, computer vision, biomechanics, and computer graphics. In the computer vision field the main goal has been to develop robust and efficient techniques for capturing and measuring human motion. Researchers from biomechanics, on the other hand, try to capitalize on such measurement methods to analyze the characteristics of human motion. In contrast, the focus of computer graphics research has been to realistically animate and render moving humans. In this Chapter, we will outline that a joint solution to the acquisition, the reconstruction, and the rendering problem paves the trail for video-based capturing and rendering of people. We present a model-based system to create realistic 3D videos of human actors that puts this idea into practice. Our method enables us to capture human actors with multiple video cameras and to render their performances in real-time from arbitrary novel viewpoints and under arbitrary novel lighting conditions.

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“…Our space deformation algorithm follows the philosophy of reduced deformable models and subspace techniques to decouple the deformation complexity from the geometric complexity [Der et al 2006;Huang et al 2006]. More specifically, we use an aggregation of elastically-coupled as-rigid-as-possible cuboid cells to enclose the model of interest.…”

Section: Introductionmentioning

confidence: 99%

Joint-aware manipulation of deformable models

Xu

¹

,

Wang

²

,

Yin

³

et al. 2009

ACM SIGGRAPH 2009 Papers

View full text Add to dashboard Cite

Complex mesh models of man-made objects often consist of multiple components connected by various types of joints. We propose a joint-aware deformation framework that supports the direct manipulation of an arbitrary mix of rigid and deformable components. First we apply slippable motion analysis to automatically detect multiple types of joint constraints that are implicit in model geometry. For single-component geometry or models with disconnected components, we support user-defined virtual joints. Then we integrate manipulation handle constraints, multiple components, joint constraints, joint limits, and deformation energies into a single volumetric-cell-based space deformation problem. An iterative, parallelized Gauss-Newton solver is used to solve the resulting nonlinear optimization. Interactive deformable manipulation is demonstrated on a variety of geometric models while automatically respecting their multi-component nature and the natural behavior of their joints.

show abstract

Inverse kinematics for reduced deformable models

Cited by 54 publications

References 0 publications

Joint-aware manipulation of deformable models

Joint-aware manipulation of deformable models

Video-based Capturing and Rendering of People

Joint-aware manipulation of deformable models

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