MORPHO-Map: A new way to model animation of topological transformations

Abstract : Animation of topological transformations, such as fractures, cracks, tears, crumbles or fragmentations, is a new challenge in Computer Graphics and Animation. We propose a new way to model and animate topological changes, allowing the programmer to design any type of topological changes and animation mapping. This model is based on organizing the complex modeling activity into three clearly defined simpler sub-activities: 1) point-based animation, which enables a wide variety of possible temporal phenomena; 2) topological-based modeling, which makes it possible to manage a wide variety of shapeindependent topologies and topological transformations; 3) free, non predetermined, association between both, and 4) final output of an animated geometrical model exhibiting any complex behavior. We experimented the proposed method by modeling tearing effects on deformable garments, on rifts and crack effects on 3D objects, and finally by modeling imaginary and paradoxical topological transformations associated with realistic Physics-based animation. Besides improving the consistency and the robustness of the modeling process of such complex phenomena, our aim is also to offer a user-centered programming environment to the Computer Graphics and Animation programmers and designers, to enlarge their modeling and experimentation abilities, and to stimulate their creativity.
Type de document :
Communication dans un congrès
9th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP/GRAPP), Jan 2014, Lisbonne, France. 13 p., 2014
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https://hal.archives-ouvertes.fr/hal-00935423
Contributeur : Philippe Meseure <>
Soumis le : jeudi 23 janvier 2014 - 15:02:08
Dernière modification le : jeudi 20 novembre 2014 - 14:46:58

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  • HAL Id : hal-00935423, version 1

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Annie Luciani, Ali Allaoui, Nicolas Castagné, Emmanuelle Darles, Xavier Skapin, et al.. MORPHO-Map: A new way to model animation of topological transformations. 9th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP/GRAPP), Jan 2014, Lisbonne, France. 13 p., 2014. 〈hal-00935423〉

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