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Sanchez M.,Bournemouth University | Fryazinov O.,Bournemouth University | Vilbrandt T.,Uformia AS | Pasko A.,Bournemouth University
Computers and Graphics (Pergamon) | Year: 2013

Morphological shape design is interpreted in this paper as a search for new shapes from a particular application domain represented by a set of selected shape instances. This paper proposes a new foundation for morphological shape design and generation. In contrast to existing generative procedures, an approach based on a user-controlled metamorphosis between functionally based shape models is presented. A formulation of the pairwise metamorphosis is proposed with a variety of functions described for the stages of deformation, morphing and offsetting. This formulation is then extended to the metamorphosis between groups of shapes with user-defined, dynamically correlated and weighted feature elements. A practical system was implemented in the form of plugin to Maya and tested by an industrial designer on a group of representative shapes from a particular domain. © 2013 Elsevier Ltd. Source


Pasko A.,Bournemouth University | Fryazinov O.,Bournemouth University | Vilbrandt T.,Digital Materialization Group | Vilbrandt T.,Uformia AS | And 2 more authors.
Graphical Models | Year: 2011

We propose a new approach to modelling heterogeneous objects containing internal volumetric structures with size of details orders of magnitude smaller than the overall size of the object. The proposed function-based procedural representation provides compact, precise, and arbitrarily parametrized models of coherent microstructures, which can undergo blending, deformations, and other geometric operations, and can be directly rendered and fabricated without generating any auxiliary representations (such as polygonal meshes and voxel arrays). In particular, modelling of regular lattices and cellular microstructures as well as irregular porous media is discussed and illustrated. We also present a method to estimate parameters of the given model by fitting it to microstructure data obtained with magnetic resonance imaging and other measurements of natural and artificial objects. Examples of rendering and digital fabrication of microstructure models are presented. © 2011 Elsevier Inc. All rights reserved. Source


Pasko A.,Bournemouth University | Vilbrandt T.,Digital Materialization Group | Vilbrandt T.,Uformia AS | Fryazinov O.,Bournemouth University | Adzhiev V.,Bournemouth University
SMI 2010 - International Conference on Shape Modeling and Applications, Proceedings | Year: 2010

We propose a new approach to modelling heterogeneous objects containing internal spatial geometric structures with size of details orders of magnitude smaller than the overall size of the object. The proposed functionbased procedural representation provides compact, precise, and arbitrarily parametrized models of coherent microstructures, which can undergo blending, deformations, and other geometric operations, and can be directly rendered and fabricated without generating any auxiliary representations (such as polygonal meshes and voxel arrays). In particular, modelling of regular lattices and cellular microstructures as well as irregular porous media is discussed and illustrated. Examples of rendering and digital fabrication of microstructure models are presented. © 2010 IEEE. Source


Fryazinov O.,Bournemouth University | Vilbrandt T.,Digital Materialization Group | Vilbrandt T.,Uformia AS | Pasko A.,Bournemouth University
CAD Computer Aided Design | Year: 2013

Existing mesh and voxel based modeling methods encounter difficulties when dealing with objects containing cellular structures on several scale levels and varying their parameters in space. We describe an alternative approach based on using real functions evaluated procedurally at any given point. This allows for modeling fully parameterized, nested and multi-scale cellular structures with dynamic variations in geometric and cellular properties. The geometry of a base unit cell is defined using Function Representation (FRep) based primitives and operations. The unit cell is then replicated in space using periodic space mappings such as sawtooth and triangle waves. While being replicated, the unit cell can vary its geometry and topology due to the use of dynamic parameterization. We illustrate this approach by several examples of microstructure generation within a given volume or along a given surface. We also outline some methods for direct rendering and fabrication not involving auxiliary mesh and voxel representations. © 2011 Elsevier Ltd. All rights reserved. Source


Malikova E.,National Research Nuclear University MEPhI | Pilyugin V.,National Research Nuclear University MEPhI | Adzhiev V.,Bournemouth University | Pasko G.,Uformia AS | Pasko A.,Bournemouth University
Scientific Visualization | Year: 2013

A general definition of visualization is a mapping of data to a representation that can be perceived. Types of this representation can be not only visual, but auditory, tactile, and others directly related to human senses or combinations of them. A formal framework for mapping data to various sensory stimuli is an open research issue. In this paper, we discuss extended scientific visualization as a method of data analysis. A formalization of establishing correspondences between the initial data and multiple human perception inputs is proposed. We introduce an approach to mapping data through multidimensional geometric models onto multimedia objects based on multimedia coordinates, and illustrate this approach with a case study of scalar fields analysis involving both visual and auditory representations. Source

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