399 Works

Direct Limit Volumes: Constant-Time Limit Evaluation for Catmull-Clark Solids

Christian Altenhofen, Joel Müller, Daniel Weber, André Stork & Dieter W. Fellner
We present a novel approach for efficient limit volume evaluation on Catmull-Clark (CC) subdivision solids. Although several analogies exist between subdivision surfaces and subdivision volumes, extending Stam's limit evaluation technique from 2 to 3 dimensions is not straightforward, as irregularities and boundaries introduce new challenges in the volumetric case. We present new direct evaluation techniques for irregular volumetric topologies and boundary cells, which allow for calculating the limit of CC subdivision solids at arbitrary parameter...

Robust and Efficient SPH Simulation for High-speed Fluids with the Dynamic Particle Partitioning Method

Zhong Zheng, Yang Gao, Shuai Li, Hong Qin & Aimin Hao
In this paper, our research efforts are devoted to the efficiency issue of the SPH simulation when the ratio of velocities among fluid particles is large. Specifically, we introduce a k-means clustering method into the SPH framework to dynamically partition fluid particles into two disjoint groups based on their velocities, we then use a two-scale time step scheme for these two types of particles. The smaller time steps are for particles with higher speed in...

Tabby: Explorable Design for 3D Printing Textures

Ryo Suzuki, Koji Yatani, Mark D. Gross & Tom Yeh
This paper presents Tabby, an interactive and explorable design tool for 3D printing textures. Tabby allows texture design with direct manipulation in the following workflow: 1) select a target surface, 2) sketch and manipulate a texture with 2D drawings, and then 3) generate 3D printing textures onto an arbitrary curved surface. To enable efficient texture creation, Tabby leverages an auto-completion approach which automates the tedious, repetitive process of applying texture, while allowing flexible customization. Our...

InspireMePosing: Learn Pose and Composition from Portrait Examples

Bin Sheng, Yuxi Jin, Ping Li, Wenxiao Wang, Hongbo Fu & Enhua Wu
Since people tend to build relationship with others by personal photography, capturing high quality photographs on mobile device has become a strong demand. We propose a portrait photography guidance system to guide user's photographing. We consider current scene image as our input and find professional photograph examples with similar aesthetic features for it. Deep residual network is introduced to gather scene classification information and represent common photograph rules by features, and random forest is adopted...

Skeleton-based Generalized Cylinder Deformation under the Relative Curvature Condition

Ruibin Ma, Qingyu Zhao, Rui Wang, James Damon, Julian Rosenman & Stephen Pizer
Deformation of a generalized cylinder with a parameterized shape change of its centerline is a non-trivial task when the surface is represented as a high-resolution triangle mesh, particularly when self-intersection and local distortion are to be avoided. We introduce a deformation approach that satisfies these properties based on the skeleton (densely sampled centerline and cross sections) of a generalized cylinder. Our approach uses the relative curvature condition to extract a reasonable centerline for a generalized...

Anisotropic Spectral Manifold Wavelet Descriptor for Deformable Shape Analysis and Matching

Qinsong Li, Shengjun Liu, Ling Hu & Xinru Liu
In this paper, we present a novel framework termed Anisotropic Spectral Manifold Wavelet Transform (ASMWT) for shape analysis. ASMWT comprehensively analyzes the signals from multiple directions on local manifold regions of the shape with a series of low-pass and band-pass frequency filters in each direction. Using the ASMWT coefficients of a very simple function, we efficiently construct a localizable and discriminative multiscale point descriptor, named as the Anisotropic Spectral Manifold Wavelet Descriptor (ASMWD). Since the...

Modeling Detailed Cloud Scene from Multi-source Images

Yunchi Cen, Xiaohui Liang, Junping Chen, Bailin Yang & Frederick W. B. Li
Realistic cloud is essential for enhancing the quality of computer graphics applications, such as flight simulation. Data-driven method is an effective way in cloud modeling, but existing methods typically only utilize one data source as input. For example, natural images are usually used to model small-scale cloud with details, and satellite images and WRF data are used to model large scale cloud without details. To construct large-scale cloud scene with details, we propose a novel...

3D VAE-Attention Network: A Parallel System for Single-view 3D Reconstruction

Fei Hu, Xinyan Yang, Wei Zhong, Long Ye & Qin Zhang
3D object reconstruction from single view image is a challenge task. Due to the fact that the information contained in one isolated image is not sufficient for reasonable 3D shape reconstruction, the existing results on single-view 3D reconstruction always lack marginal voxels. To tackle this problem, we propose a parallel system named 3D VAE-attention network (3VAN) for single view 3D reconstruction. Distinct from the common encoder-decoder structure, the proposed network consists of two parallel branches,...

A Visual Analytics Approach for Traffic Flow Prediction Ensembles

Kezhi Kong, Yuxin Ma, Chentao Ye, Junhua Lu, Xiqun Chen, Wei Zhang & Wei Chen
Traffic flow prediction plays a significant role in Intelligent Transportation Systems (ITS). Due to the variety of prediction models, the prediction results form an intricate structure of ensembles and hence leave a challenge of understanding and evaluating the ensembles from different perspectives. In this paper, we propose a novel visual analytics approach for analyzing the predicted ensembles. Our approach models the uncertainty of different traffic flow prediction results. The variations of space, time, and network...

Robust Material Graphs for Volume Rendering

Ojaswa Sharma, Tushar Arora & Apoorv Khattar
A good transfer function in volume rendering requires careful consideration of the materials present in a volume. In this work we propose a graph based method that considerably reduces manual effort required in designing a transfer function and provides an easy interface for interaction with the volume. Our novel contribution is in proposing an algorithm for robust deduction of a material graph from a set of disconnected edges. Since we compute material topology of the...

Dynamic Environment Mapping for Augmented Reality Applications on Mobile Devices

Rafael Monroy, Matis Hudon & Aljosa Smolic
Augmented Reality is a topic of foremost interest nowadays. Its main goal is to seamlessly blend virtual content in real-world scenes. Due to the lack of computational power in mobile devices, rendering a virtual object with high-quality, coherent appearance and in real-time, remains an area of active research. In this work, we present a novel pipeline that allows for coupled environment acquisition and virtual object rendering on a mobile device equipped with a depth sensor....

Atomic Accessibility Radii for Molecular Dynamics Analysis

Norbert Lindow, Daniel Baum & Hans-Christian Hege
In molecular structure analysis and visualization, the molecule's atoms are often modeled as hard spheres parametrized by their positions and radii. While the atom positions result from experiments or molecular simulations, for the radii typically values are taken from literature. Most often, van der Waals (vdW) radii are used, for which diverse values exist. As a consequence, different visualization and analysis tools use different atomic radii, and the analyses are less objective than often believed....

VIA-MD: Visual Interactive Analysis of Molecular Dynamics

Robin Skånberg, Mathieu Linares, Carolin König, Patrick Norman, Daniel Jönsson, Ingrid Hotz & Anders Ynnerman
We present a visual exploration environment tailored for large-scale spatio-temporal molecular dynamics simulation data. The environment is referred to as VIA-MD (visual interactive analysis of molecular dynamics) and has been developed in a participatory design process with domain experts on molecular dynamics simulations of complex molecular systems. A key feature of our approach is the support for linked interactive 3D exploration of geometry and statistical analysis using dynamic temporal windowing and animation. Based on semantic...

EnvirVis 2018: Frontmatter

Karsten Rink, Dirk Zeckzer, Roxana Bujack & Stefan Jänicke

EuroRV3 2018: Frontmatter

Kai Lawonn, , Lars Linsen & Robert Kosara

EuroVA 2018: Frontmatter

Christian Tominski & Tatiana Von Landesberger

Modelling the Fluid-Boundary Interaction in SPH

Juan J. Perea & Juan M. Cordero
Smoothed Particle Hydrodynamics (SPH) is a numerical method based on mutually interacting meshfree particles, and has been widely applied to fluid simulation in Computer Graphics. Originally SPH does not define the behaviour of the particle system in the contour, so the different variants of SPH have been solving this deficiency with different techniques. Some of these techniques are based on fictitious forces, specular particles or semi-analytic fields. However, all these proposals present a drawback, that...

A Physically-Based Spatio-Temporal Sky Model

David Guimera, Diego Gutierrez & Adrián Jarabo
In this work we present a physically-based optical model of the atmosphere, that takes into account the seasonal and geographic variation of its composition. Based on data from the atmospheric science literature, we build a highly detailed the composition of the atmosphere, and how it varies depending on the position of the observer, or the time of the year. Then, based on precise measurements of the optical properties of the components of the atmosphere, we...

A Usability Study for a Novel Approach to Virtual Reality Interaction

José Negrillo, Juan Roberto Jiménez & Francisco Ramón Feito
The number of virtual reality-based systems have considerably increased in recent years due to many technical improvements and lower prices. Nowadays, the applications of this kind of systems go further than videogames. Additionally, they enable new interaction paradigms adapted to this new technology. In this paper we propose a new interaction model to visualize objects in a virtual reality context. We describe our proposed mechanisms to achieve a set of graphical tasks and we conduct...

Rendering and Interacting With Volume Models in Immersive Environments

Joan Fons, Eva Monclús, Pere-Pau Vázquez & Isabel Navazo
The recent advances in VR headsets, such as the Oculus Rift or HTC Vive, at affordable prices offering a high resolution display, has empowered the development of immersive VR applications. data. In this paper we propose an immersive VR system that uses some well-known acceleration algorithms to achieve real-time rendering of volumetric datasets in an immersive VR system. Moreover, we have incorporated different basic interaction techniques to facilitate the inspection of the volume dataset. The...

A Visual Interface for Feature Subset Selection Using Machine Learning Methods

Diego Rojo, Laura Raya, Manuel Rubio-Sánchez & Alberto Sánchez
Visual representation of information remains a key part of exploratory data analysis. This is due to the high number of features in datasets and their increasing complexity, together with users' ability to visually understand information. One of the most common operations in exploratory data analysis is the selection of relevant features in the available data. In multidimensional scenarios, this task is often done with the help of automatic dimensionality reduction algorithms from the machine learning...

Study of the Influence of User Characteristics on the Virtual Reality Presence

Jesús Mayor, Alberto Sánchez & Laura Raya
In recent years, virtual reality has grown a lot in different areas of application, including ludic, social and research, being used by a large and growing number of users with different profiles. Presence is one of the most distinctive and important features of a virtual reality experience. The aim of this article is to study the most suitable areas of application for users and to analyze the influence of different characteristics of the user's profile...

PterosaVR MUVHN: una aplicación para la reconstrucción virtual de Tropeognathus mesembrinus

Tonny Ruiz-Gijón, Marcos Gutiérrez Cubells, Borja Holgado, Hugo Salais López, María Vidal-González & Anna García Forner
Tanto el paleoarte como las nuevas tecnologías suponen herramientas muy útiles y visualmente atractivas para la representación de la vida extinta. En este proyecto, ambas disciplinas han sido combinadas en el desarrollo de una aplicación móvil que permite, mediante el uso de un casco de realidad virtual, asistir a la reconstrucción del pterosaurio Tropeognathus mesembrinus, paseando a través de tres niveles anatómicos: el esqueleto, la musculatura y el aspecto externo. La reconstrucción culmina con una...

Noise Reduction Automation of LiDAR Point Clouds for Modeling and Representation of High Voltage Lines in a 3D Virtual Globe

Jaisiel Santana, Sebastián Ortega, José Miguel Santana, Agustin Trujillo & Jose Pablo Suárez
Due to the importance of electricity supply, electric companies must inspect their infrastructure in order to guarantee the reliability of the service. In this scenario, many companies use LiDAR technology for modeling the power line corridors and detect possible anomalies and risks. This process is quite expensive in terms of costs and human dependency so, maximizing the automation of the process is critical. In this paper, a method for reducing turbulence-noise in airborne LiDAR point...

Registration Year

  • 2018

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  • Text