Suchergebnisse - I.3.5 [Computer Graphics]: Computational Geometry AND Object Modeling—Shape Analysis

Robust Region Detection via Consensus Segmentation of Deformable Shapes von Rodolà, E., Bulò, S. Rota, Cremers, D.

“… We consider the problem of stable region detection and segmentation of deformable shapes. We pursue this goal by determining a consensus segmentation from a …”
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Non-Rigid Puzzles von Litany, O., Rodolà, E., Bronstein, A. M., Bronstein, M. M., Cremers, D.

“… Shape correspondence is a fundamental problem in computer graphics and vision, with applications in various problems including animation, texture mapping, robotic vision, medical imaging, archaeology and many …”
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Fully Spectral Partial Shape Matching von Litany, O., Rodolà, E., Bronstein, A. M., Bronstein, M. M.

“… We propose an efficient procedure for calculating partial dense intrinsic correspondence between deformable shapes performed entirely in the spectral domain …”
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Localized Manifold Harmonics for Spectral Shape Analysis von Melzi, S., Rodolà, E., Castellani, U., Bronstein, M. M.

“… The use of Laplacian eigenfunctions is ubiquitous in a wide range of computer graphics and geometry processing applications …”
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Regularized Pointwise Map Recovery from Functional Correspondence von Rodolà, E., Moeller, M., Cremers, D.

“… The concept of using functional maps for representing dense correspondences between deformable shapes has proven to be extremely effective in many …”
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Consistent Partial Matching of Shape Collections via Sparse Modeling von Cosmo, L., Rodolà, E., Albarelli, A., Mémoli, F., Cremers, D.

“… Recent efforts in the area of joint object matching approach the problem by taking as input a set of pairwise maps, which are then jointly optimized across the whole collection so that certain …”
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Stable Region Correspondences Between Non-Isometric Shapes von Ganapathi-Subramanian, V., Thibert, B., Ovsjanikov, M., Guibas, L.

“… We consider the problem of finding meaningful correspondences between 3D models that are related but not necessarily very similar. When the shapes are quite …”
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Partial Functional Correspondence von Rodolà, E., Cosmo, L., Bronstein, M. M., Torsello, A., Cremers, D.

“… We use perturbation analysis to show how removal of shape parts changes the Laplace–Beltrami eigenfunctions, and exploit it as a prior on the spectral representation of the correspondence …”
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