Material aware mesh deformations

Popa, Tiberiu; Julius, Dan; Sheffer, Alla

doi:10.1145/1186954.1186960

Cited by 29 publications

(27 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Material-aware mesh deformation incorporates non-uniform materials into the geometric deformation framework [Popa et al 2006]. Material stiffness can be specified with a paint-like interface or can be learned from a sequence of example deformations.…”

Section: Related Workmentioning

confidence: 99%

Joint-aware manipulation of deformable models

Wang

Yin

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

Section: Related Workmentioning

confidence: 99%

Joint-aware manipulation of deformable models

Wang

Yin

et al. 2009

ACM SIGGRAPH 2009 Papers

View full text Add to dashboard Cite

show abstract

“…Minimizing the distortion of the vulnerable regions with non-homogeneous similarity or shape-preserving transformations Popa et al 2006;Wolf et al 2007] or as-rigid-as-possible deformations [Alexa et al 2000;Sorkine and Alexa 2007;Igarashi et al 2005] simply redistributes the distortion, pushing it to other parts of the model (Figure 4(c) (top)). A better way to preserve structure while resizing is to minimize bending, accepting a certain degree of shear and allowing uniform scale.…”

Section: Our Approachmentioning

confidence: 99%

Non-homogeneous resizing of complex models

Kraevoy¹,

Sheffer²,

Shamir³

et al. 2008

ACM SIGGRAPH Asia 2008 Papers

Self Cite

View full text Add to dashboard Cite

Figure 1: Resizing a clock model (267 connected components): Standard non-uniform scale distorts the shape of parts of the model, e.g. the dial (b). Our approach resizes the clock in a more natural manner protecting its shape (c). (d) and (e) show part of the protective grid before and after resizing. AbstractResizing of 3D models can be very useful when creating new models or placing models inside different scenes. However, uniform scaling is limited in its applicability while straightforward nonuniform scaling can destroy features and lead to serious visual artifacts. Our goal is to define a method that protects model features and structures during resizing. We observe that typically, during scaling some parts of the models are more vulnerable than others, undergoing undesirable deformation. We automatically detect vulnerable regions and carry this information to a protective grid defined around the object, defining a vulnerability map. The 3D model is then resized by a space-deformation technique which scales the grid non-homogeneously while respecting this map. Using space-deformation allows processing of common models of man-made objects that consist of multiple components and contain non-manifold structures. We show that our technique resizes models while suppressing undesirable distortion, creating models that preserve the structure and features of the original ones.

show abstract

“…To address this issue, [Popa et al 2006] described a "materialaware" deformation framework, where the stiffness of deformation is determined by material properties of the mesh. However, a user had to provide stiffness properties manually (or they had to be learned from example deformations).…”

Section: Deformationmentioning

confidence: 99%

Randomized cuts for 3D mesh analysis

Golovinskiy

2008

ACM SIGGRAPH Asia 2008 Papers

View full text Add to dashboard Cite

The goal of this paper is to investigate a new shape analysis method based on randomized cuts of 3D surface meshes. The general strategy is to generate a random set of mesh segmentations and then to measure how often each edge of the mesh lies on a segmentation boundary in the randomized set. The resulting "partition function" defined on edges provides a continuous measure of where natural part boundaries occur in a mesh, and the set of "most consistent cuts" provides a stable list of global shape features. The paper describes methods for generating random distributions of mesh segmentations, studies sensitivity of the resulting partition functions to noise, tessellation, pose, and intra-class shape variations, and investigates applications in mesh visualization, segmentation, deformation, and registration.

show abstract

Material aware mesh deformations

Cited by 29 publications

References 33 publications

Joint-aware manipulation of deformable models

Joint-aware manipulation of deformable models

Non-homogeneous resizing of complex models

Randomized cuts for 3D mesh analysis

Contact Info

Product

Resources

About