Browsing by Author "Nur, Mai"

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    ANIMATING THE ESCAPE RESPONSE OF STOMPHIA COCCINEA FROM DERMASTERIAS IMBRICATA MODELED USING IMPLICIT SURFACES
    (2001-02-02) Nur, Mai; Liang, Xikun; Wyvill, Brian; Bourne, George
    Many of the most interesting behaviors in the biological world have to do with interactions between species. The predator-prey interactions among aquatic organisms is an interesting part of the natural world which has not been seen much in computer animation. This paper explores the interaction between various sea anemones and the starfish Dermasterias imbricata. Although a simulation between a specific sea anemone, Stomphia coccinea to Dermasterias imbricata was created, an approach was taken such that different anemones can with minor parameter changes be used to replace S. coccinea. The animation was created using a parametric keyframe approach of procedural models. The anemone and starfish were modeled using the Blob Tree. The implicit model within the system is defined as a hierarchical composition of multiple objects. Using a hierarchical construction of the model, we can refine the model locally and deform it globally while maintaining the integrity of surface details.
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    MODELING THE STRUCTURE OF THE SEA ANEMONE, STOMPHIA COCCINEA AND THE SEA STAR, DERMASTERIAS IMBRICATA USING IMPLICIT SURFACES
    (2000-12-05) Liang, Xikun; Nur, Mai; Wyvill, Brian
    The Blob Tree provides a hierarchical data structure for the definition of complex models built from implicit surfaces, CSG Boolean operations and space warping functions. The implicit model within the system is defined as a hierarchical composition of multiple objects. In this paper, we describe an application of the Blob Tree to create visually accurate models of two invertebrates, the sea anemone, Stomphia Coccinea, and the sea star, Dermasterias Imbricata. The sea star was created using a variety of parameters that could be modified to create different variations of the Dermasterias Imbricata species. We use the phyllotactic method to obtain an accurate and visually pleasing arrangement of the sea anemone's tentacles. Using a hierarchical construction of the model, we can refine the model locally and deform it globally while maintaining the integrity of surface details. Taking advantage of the hierarchical representation of the object, we can easily adjust the model by simply changing some parameters of the surface or by performing global deformations on the anemone or local refinements on the tentacles.