Browsing by Author "Ovsjanikov, Maks"

Now showing items 1-7 of 7

    • Discrete Optimization for Shape Matching 

      Ren, Jing; Melzi, Simone; Wonka, Peter; Ovsjanikov, Maks (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We propose a novel discrete solver for optimizing functional map-based energies, including descriptor preservation and promoting structural properties such as area-preservation, bijectivity and Laplacian commutativity among ...

    • Inverse Computational Spectral Geometry 

      Rodolà, Emanuele; Cosmo, Luca; Ovsjanikov, Maks; Rampini, Arianna; Melzi, Simone; Bronstein, Michael; Marin, Riccardo (The Eurographics Association, 2022)
      In the last decades, geometry processing has attracted a growing interest thanks to the wide availability of new devices and software that make 3D digital data available and manipulable to everyone. Typical issues faced ...

    • Limit Shapes - A Tool for Understanding Shape Differences and Variability in 3D Model Collections 

      Huang, Ruqi; Achlioptas, Panos; Guibas, Leonidas; Ovsjanikov, Maks (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We propose a novel construction for extracting a central or limit shape in a shape collection, connected via a functional map network. Our approach is based on enriching the latent space induced by a functional map network ...

    • Orthogonalized Fourier Polynomials for Signal Approximation and Transfer 

      Maggioli, Filippo; Melzi, Simone; Ovsjanikov, Maks; Bronstein, Michael M.; Rodolà, Emanuele (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We propose a novel approach for the approximation and transfer of signals across 3D shapes. The proposed solution is based on taking pointwise polynomials of the Fourier-like Laplacian eigenbasis, which provides a compact ...

    • PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds 

      Rakotosaona, Marie‐Julie; La Barbera, Vittorio; Guerrero, Paul; Mitra, Niloy J.; Ovsjanikov, Maks (© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2020)
      Point clouds obtained with 3D scanners or by image‐based reconstruction techniques are often corrupted with significant amount of noise and outliers. Traditional methods for point cloud denoising largely rely on local ...

    • Robust Structure‐Based Shape Correspondence 

      Kleiman, Yanir; Ovsjanikov, Maks (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present a robust method to find region‐level correspondences between shapes, which are invariant to changes in geometry and applicable across multiple shape representations. We generate simplified shape graphs by jointly ...

    • Spectral Mesh Simplification 

      Lescoat, Thibault; Liu, Hsueh-Ti Derek; Thiery, Jean-Marc; Jacobson, Alec; Boubekeur, Tamy; Ovsjanikov, Maks (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      The spectrum of the Laplace-Beltrami operator is instrumental for a number of geometric modeling applications, from processing to analysis. Recently, multiple methods were developed to retrieve an approximation of a shape ...