Výsledky vyhledávání - "WEINKAUF, TINO"

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Revisiting Accurate Geometry for Morse-Smale Complexes

Autor: Thanh, Son Le, Ankele, Michael, Weinkauf, Tino

The Morse-Smale complex is a standard tool in visual data analysis. The classic definition is based on a continuous view of the gradient of a scalar function where its zeros are the critical points. These points are connected via gradient curves and

Externí odkaz: http://arxiv.org/abs/2409.05532

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A Discrete Probabilistic Approach to Dense Flow Visualization

Autor: Preuß, Daniel, Weinkauf, Tino, Krüger, Jens

Dense flow visualization is a popular visualization paradigm. Traditionally, the various models and methods in this area use a continuous formulation, resting upon the solid foundation of functional analysis. In this work, we examine a discrete formu

Externí odkaz: http://arxiv.org/abs/2007.01629

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Regularized Harmonic Surface Deformation

Autor: Kozlov, Yeara, Esturo, Janick Martinez, Seidel, Hans-Peter, Weinkauf, Tino

Harmonic surface deformation is a well-known geometric modeling method that creates plausible deformations in an interactive manner. However, this method is susceptible to artifacts, in particular close to the deformation handles. These artifacts oft

Externí odkaz: http://arxiv.org/abs/1408.3326

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A Low-Dimensional Representation for Robust Partial Isometric Correspondences Computation

Autor: Brunton, Alan, Wand, Michael, Wuhrer, Stefanie, Seidel, Hans-Peter, Weinkauf, Tino

Publikováno v: Graphical Models, 76(2), pp. 70--85, March 2014

Intrinsic isometric shape matching has become the standard approach for pose invariant correspondence estimation among deformable shapes. Most existing approaches assume global consistency, i.e., the metric structure of the whole manifold must not ch

Externí odkaz: http://arxiv.org/abs/1308.6804

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Combinatorial Gradient Fields for 2D Images with Empirically Convergent Separatrices

Autor: Reininghaus, Jan, Günther, David, Hotz, Ingrid, Weinkauf, Tino, Seidel, Hans Peter

This paper proposes an efficient probabilistic method that computes combinatorial gradient fields for two dimensional image data. In contrast to existing algorithms, this approach yields a geometric Morse-Smale complex that converges almost surely to

Externí odkaz: http://arxiv.org/abs/1208.6523

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