Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662)
DOI: 10.1109/cvpr.2000.855840
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Parameterization of closed surfaces for parametric surface description

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Cited by 35 publications
(30 citation statements)
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“…Our WFS formulation addresses the determination of the optimal degree in a unified statistical modeling framework. The WFS-based global parametrization is computationally expensive compared to the local quadratic polynomial fitting [4], [10], [13], [29], [40] while providing more accuracy and flexibility for hierarchical representation.…”
Section: A Spherical Harmonic Representationmentioning
confidence: 99%
“…Our WFS formulation addresses the determination of the optimal degree in a unified statistical modeling framework. The WFS-based global parametrization is computationally expensive compared to the local quadratic polynomial fitting [4], [10], [13], [29], [40] while providing more accuracy and flexibility for hierarchical representation.…”
Section: A Spherical Harmonic Representationmentioning
confidence: 99%
“…It is possible that non-rigid symmetry, such as spiral structure, is connected to polynomial phase, rather than linear phase. Furthermore, the structural properties of phase for three-variable spherical harmonics, or SPHARM [16] constitute another interesting extension to explore.…”
Section: Discussionmentioning
confidence: 99%
“…To ensure topological correctness, this operation is only applied in a conservative manner, i.e. if the involved vertices as well as their common neighbor vertices all have valences larger three [10].…”
Section: Algorithm Outlinementioning
confidence: 99%