1,721,003 research outputs found
Distributed Triangle Mesh Processing
No full textWe propose a web-based system to remotely and distributedly process triangle meshes. Users can implement complex geometric procedures by composing simpler processing tools that, in their turn, can be provided by researchers who publish them as appropriateWeb services. We defined an efficient geometric data transfer protocol in order to resolve the potential mesh delivery bottleneck caused by the transfer of large models to the various servers on typical long-distance connections with limited bandwidth. We have experimented our system on several large models and on diverse processing scenarios, and we have concluded that our transfer protocol significantly reduces the overall time needed to produce the result
Multi-touch and Tangible Interface: Two Different Interaction Modes in the Same System
No full textWe present here a system built around the idea of giving to several users the possibility to interact with a cheap and solid hardware, at the same time, using natural gestures supported
by an intuitive user interface. A projector and a camera are placed underneath a Plexiglas sheet, framed with an array of infrared LEDs, all set into a wooden table box. This allows for multiple users (up to four or ve) to freely move around the box and manipulate the objects retro-projected
on the screen, using a tangible interface designed aiming at offering few simple operations: geometric transforms (rotations,
translations and scales), drawing, erasing and color
se-lections. All of these are executed through the use of either a custom built IR LED pen and/or directly the fingers. The main purpose of the project is to offer an instrument of tangible interaction to classrooms of naive users (i.e.: neither
technology nor science professors and students) in a
university environment
MUSE: Modeling Uncertainty as a Support for Environment
No full textTo fully understand a Natural System, the representation of an environmental variable's distribution in 3D space is a mandatory and complex task. The challenge derives from a scarcity of samples number in the survey domain (e.g., logs in a reservoir, soil samples, fixed acquisition sampling stations) or an implicit difficulty in the in-situ measurement of parameters. Field or lab measurements are generally considered error-free, although not so. That aspect, combined with conceptual and numerical approximations used to model phenomena, makes the results intrinsically less performing, fading the interpretation. In this context, we design a computational infrastructure to evaluate spatial uncertainty in a multi-scenario application in Environment survey and protection, such as in environmental geochemistry, coastal oceanography, or infrastructure engineering. Our Research aims to expand the operative knowledge by developing an open-source stochastic tool, named MUSE, the acronym for Modeling Uncertainty as a Support for Environment. At this stage, the methodology mainly includes the definition of a flexible environmental data format, a geometry processing module to discretize the space, and geostatistics tools to evaluate the spatial continuity of sampled parameters, predicting random variable distribution. The implementation of the uncertainty module and the development of a graphic interface for ad-hoc visualization will be integrated as the next step. The poster summarizes research purposes, and MUSE computational code structure developed so far.Smart Tools and Applications in Graphics - Eurographics Italian Chapter ConferencePoster
Smart Tools and Applications in Graphics - Eurographics Italian Chapter Conference: Frontmatter
No full textSmart Tools and Applications in Graphics - Eurographics Italian Chapter Conferenc
A computational approach for 3D modeling and integration of heterogeneous geo-data
No full textThis paper tackles the volumetric representation of geophysical and geotechnical data, gathered during exploration surveys of the subsoil; in particular, we focus on the modeling and analysis of underwater deposits. The creation of a 3D model as support to geological interpretation has to take into account the heterogeneity of the input data, coming from offshore acquisition campaigns. Some data are massive, but cover the domain unevenly, e.g., along dense differently spaced lines, while others are very sparse, e.g., borehole locations with soil sampling and CPTU (Piezocone Penetration Test) locations.
A automatic process is presented to generate the subsurfaces and volume defining a sub-seabed deposit, starting from the identification of relevant morphological features in seismic data. In particular, simplification and refinement based on geostatistics have been applied to generate regular 2D meshes from strongly anisotropic data, in order to improve the quality of the final 3D tetrahedral mesh. Furthermore, we also use geostatistics to predict geotechnical parameters from local surveys and estimate their distribution on the whole domain: in this way the 3D model will include relevant geological features of the deposit and allow extrapolating different geotechnical information with associated uncertainty. The volume characterization and its 3D inspection will support geological analysis and planning of future engineering activities. The developed methodology has been tested on two real case studies.This paper tackles the volumetric representation of geophysical and geotechnical data, gathered during exploration surveys of the subsoil; in particular, we focus on the modeling and analysis of underwater deposits. The creation of a 3D model as support to geological interpretation has to take into account the heterogeneity of the input data, coming from offshore acquisition campaigns. Some data are massive, but cover the domain unevenly, e.g., along dense differently spaced lines, while others are very sparse, e.g., borehole locations with soil sampling and CPTU (Piezocone Penetration Test) locations. A automatic process is presented to generate the subsurfaces and volume defining a sub-seabed deposit, starting from the identification of relevant morphological features in seismic data. In particular, simplification and refinement based on geostatistics have been applied to generate regular 2D meshes from strongly anisotropic data, in order to improve the quality of the final 3D tetrahedral mesh. Furthermore, we also use geostatistics to predict geotechnical parameters from local surveys and estimate their distribution on the whole domain: in this way the 3D model will include relevant geological features of the deposit and allow extrapolating different geotechnical information with associated uncertainty. The volume characterization and its 3D inspection will support geological analysis and planning of future engineering activities. The developed methodology has been tested on two real case studies. (C) 2022 Elsevier Ltd. All rights reserved
Smart Tools and Applications in Graphics - Eurographics Italian Chapter Conference: Frontmatter
No full textSmart Tools and Applications in Graphics - Eurographics Italian Chapter Conferenc
- …
