Relief Pattern Segmentation Using 2D-Grid Patches on a Locally Ordered Mesh Manifold (Unknown language)

How to get this document?

Commercial Copyright fee: €14.50 Basic fee: €4.00 Total price: €18.50
Academic Copyright fee: €4.50 Basic fee: €2.00 Total price: €6.50

The mesh manifold support has been analyzed to perform several different tasks. Recently, it emerged the need for new methods capable of analyzing relief patterns on the surface. In particular, a new and not investigated problem is that of segmenting the surface according to the presence of different relief patterns. In this paper, we introduce this problem and propose a new approach for segmenting such relief patterns (also called geometric texture) on the mesh-manifold. Operating on regular and ordered mesh, we design, in the first part of the paper, a new mesh re-sampling technique complying with this requirement. This technique ensures the best trade-off between mesh regularization and geometric texture preservation, when compared with competitive methods. In the second part, we present a novel scheme for segmenting a mesh surface into three classes: texturedsurface, non-textured surface, and edges (i.e., surfaces at the border between the two). This technique leverages the ordered structure of the mesh for deriving 2D-grid patches allowing us to approach the segmentation problem as a patch-classification technique using a CNN network in a transfer learning setting. Experiments performed on surface samples from the SHREC'18 contest show remarkable performance with an overall segmentation accuracy of over 99%.

Table of contents conference proceedings

The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

MTV-Player: Interactive Spatio-Temporal Exploration of Compressed Large-Scale Time-Varying Rectilinar Scalar Volumes
Díaz, Jose / Marton, Fabio / Gobbetti, Enrico | 2019
A Visualization Tool for Scholarly Data
Salinas, Mario / Giorgi, Daniela / Ponchio, Federico / Cignoni, Paolo | 2019
Immersive Environment for Creating, Proofreading, and Exploring Skeletons of Nanometric Scale Neural Structures
Boges, Daniya / Calì, Corrado / Magistretti, Pierre J. / Hadwiger, Markus / Sicat, Ronell / Agus, Marco | 2019
HT-based Recognition of Patterns on 3D Shapes Using a Dictionary of Mathematical Curves
Romanengo, Chiara / Biasotti, Silvia / Falcidieno, Bianca | 2019
Feature-based Characterisation of Patient-specific 3D Anatomical Models
Banerjee, Imon / Paccini, Martina / Ferrari, Enrico / Catalano, Chiara Eva / Biasotti, Silvia / Spagnuolo, Michela | 2019
3DReg-i-Net: Improving Deep Learning Based 3D Registration for a Robust Real-time Alignment of Small-scale Scans
Lombardi, Marco / Riccardi, Andrea / Savardi, Mattia / Signoroni, Alberto | 2019
Split and Mill: User Assisted Height-field Block Decomposition for Fabrication
Muntoni, Alessandro / Spano, Lucio Davide / Scateni, Riccardo | 2019
Interactive Animation of Single-layer Cumulus Clouds Using Cloud Map
Goswami, Prashant | 2019
Motion Data and Model Management for Applied Statistical Motion Synthesis
Herrmann, Erik / Du, Han / Antakli, André / Rubinstein, Dmitri / Schubotz, René / Sprenger, Janis / Hosseini, Somayeh / Cheema, Noshaba / Zinnikus, Ingo / Manns, Martin et al. | 2019
Visual Representation of Region Transitions in Multi-dimensional Parameter Spaces
Fernandes, Oliver / Frey, Steffen / Reina, Guido / Ertl, Thomas | 2019
Design and Implementation of a Visualization Tool for the in-depth Analysis of the Domestic Electricity Consumption
Merlin, Gabriele / Ortu, Daniele / Cherchi, Gianmarco / Scateni, Riccardo | 2019
Computational Fabrication of Macromolecules to Enhance Perception and Understanding of Biological Mechanisms
Alderighi, Thomas / Giorgi, Daniela / Malomo, Luigi / Cignoni, Paolo / Zoppè, Monica | 2019
MLIC-Synthetizer: a Synthetic Multi-Light Image Collection Generator
Dulecha, Tinsae Gebrechristos / Dall'Alba, Andrea / Giachetti, Andrea | 2019
Mapping Grey-Levels on 3D Segmented Anatomical districts
Paccini, Martina / Patané, Giuseppe / Spagnuolo, Michela | 2019
Relief Pattern Segmentation Using 2D-Grid Patches on a Locally Ordered Mesh Manifold
Tortorici, Claudio / Vreshtazi, Denis / Berretti, Stefano / Werghi, Naoufel | 2019
Yocto/GL: A Data-Oriented Library For Physically-Based Graphics
Pellacini, Fabio / Nazzaro, Giacomo / Carra, Edoardo | 2019
The Py3DViewer Project: A Python Library for fast Prototyping in Geometry Processing
Cherchi, Gianmarco / Pitzalis, Luca / Frongia, Giovanni Laerte / Scateni, Riccardo | 2019
ReVize: A Library for Visualization Toolchaining with Vega-Lite
Hogräfer, Marius / Schulz, Hans-Jörg | 2019