Abstract
This paper presents a physics-based algorithm for hierarchical shape representation using deformable models with locally adaptive finite elements. Our new adaptive finite element algorithm ensures that during subdivision the desirable finite element mesh generation properties of conformity, non-degeneracy and smoothness are maintMned. Through our algorithm, we locally subdivide the triangular finite elemeats based on the distance between the given datapoints and the model. In this way, we can very efficiently and accurately represent the shape of an object with a resulting small number of model nodes. Furthermore, using our locally adaptive subdivision algorithm in conjunction with our model's global deformations we construct a hierarchical representation of the given 3D data.
Cite
CITATION STYLE
Koh, E., Metaxas, D., & Badler, N. (1994). Hierarchical shape representation using locally adaptive finite elements. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 800 LNCS, pp. 441–446). Springer Verlag. https://doi.org/10.1007/3-540-57956-7_48
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