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Feature-based adaptive texture visualization for vector field

HuaXun Xu, SiKun Li, Liang Zeng, Xun Cai
2012 Science China Information Sciences  
An adaptive sparse texture rendering method is proposed to solve for occlusion effects when visualizing 3D flows, building on an extensible fuzzy feature extraction approach.  ...  An adaptive Gaussian noise field is obtained from the significance field by a noise generation process, and is used as the input for the LIC convolution process.  ...  Texture-based techniques are an effective choice for visualizing vector fields that display a flow field globally.  ... 
doi:10.1007/s11432-011-4505-3 fatcat:serx7zojy5apldqfdp6brlzmui

Fuzzy Feature Visualization of 3D Vector Field by Information-Entropy-Based Texture Adaptation

Huaihui Wang, Huaxun Xu, Liang Zeng, Sikun Li
2011 International Journal of Virtual Reality  
Texture adaptation is a challenging issue in tex-ture-based feature visualization.  ...  In order to visualize as more information as we can, this paper presents a texture adaptation technique for fuzzy feature visualization of 3D vector field, taking into account information quantity carried  ...  RELATED WORK Texture-based visualizations are an important part for vector field analysis.  ... 
doi:10.20870/ijvr.2011.10.4.2827 fatcat:pvvp24aqqjd4dgoyghugsekf4y

Vector Field Visualization using Markov Random Field Texture Synthesis [article]

Francesca Taponecco, Marc Alexa
2003 EUROVIS 2005: Eurographics / IEEE VGTC Symposium on Visualization  
We extend this idea for vector field visualization by identifying each vector value with a representative example image, e.g. a strongly directed texture that is rotated according to a 2D vector.  ...  This leads to dense and smooth visualizations with the additional freedom to use arbitrary representation textures for any vector value.  ...  Acknowledgments We thank Wolfgang Müller for discussions in the early phase of this project.  ... 
doi:10.2312/vissym/vissym03/195-202 fatcat:3yznylvhejeuldmrsepny37cay

Higher Dimensional Vector Field Visualization: A Survey [article]

Zhenmin Peng, Robert S. Laramee
2009 Computer Graphics and Visual Computing  
Vector field visualization research has evolved very rapidly over the last two decades.  ...  We present a survey of higher-spatial dimensional flow visualization techniques based on the presumption that little work remains for the case of two-dimensional flow whereas many challenges still remain  ...  Texture-Based Visualization for 3D Unsteady (4D) Vector Fields Texture-Based vector field visualization methods for 3D time-dependent vector fields are described.  ... 
doi:10.2312/localchapterevents/tpcg/tpcg09/149-163 dblp:conf/tpcg/PengL09 fatcat:wiktpxrp2vhtjmxj2ntmirtcfq

MicroRNAs in lipid metabolism

Carlos Fernández-Hernando, Yajaira Suárez, Katey J Rayner, Kathryn J Moore
2011 Current Opinion in Lipidology  
These new findings may open new avenues for the treatment of dyslipidemias.  ...  This review summarizes the evidence for a critical role of miRNAs in regulating lipid metabolism. Lipid metabolism is tightly regulated at the cellular level.  ...  Texture-Based Visualization for 3D Unsteady (4D) Vector Fields Texture-Based vector field visualization methods for 3D time-dependent vector fields are described.  ... 
doi:10.1097/mol.0b013e3283428d9d pmid:21178770 pmcid:PMC3096067 fatcat:lubmprgykzgnvj5el5vf4q5b7m

Global, geometric, and feature-based techniques for vector field visualization

Frits H. Post, Wim C. de Leeuw, I. Ari Sadarjoen, Freek Reinders, Theo van Walsum
1999 Future generations computer systems  
Spot noise is a texture synthesis technique for global visualization of vector fields on 2D surfaces.  ...  Vector field visualization techniques are subdivided into three categories: global, geometric, and feature-based techniques.  ...  These techniques include color mapping and direct volume rendering for scalar data fields, and hedgehogs (arrow plots) and texture-based visualization for vector fields.  ... 
doi:10.1016/s0167-739x(98)00050-8 fatcat:iljgoiv5b5g5doel7hqy5dyy4e

Interactive Vector Field Feature Identification

Joel Daniels, Erik W Anderson, Luis Gustavo Nonato, Cláudio T Silva
2010 IEEE Transactions on Visualization and Computer Graphics  
Feature-based visualizations are generated through a painting interface, performed on this canvas.  ...  Users generate feature-based visualizations by interactively highlighting well-accepted and domain specific representative feature points.  ...  Acknowledgments We would like to thank the anonymous reviewers for their constructive comments. We thank Chems Touati for his time and help during the production of our accompanying video. This  ... 
doi:10.1109/tvcg.2010.170 pmid:20975198 fatcat:z6c5jl4kzndj5oy5ipf3rxytke

Adaptive Ground Penetrating Radar Systems to Visualize Antipersonnel Plastic Landmines Based on Local Texture in Scattering / Reflection Data in Space and Frequency Domains [chapter]

Yukimasa Nakano, Akira Hirose
2010 Radar Technology  
Adaptive Ground Penetrating Radar Systems to Visualize Antipersonnel Plastic Landmines Based on Local Texture in Scattering / Reflection Data in Space and Frequency Domains 129 2005).  ...  In the resulting 3-dimensional (2dimensional (space) × frequency) data, we extract local texture information as a set of feature vectors, and feed them to a CSOM for adaptive classification of the 3-dimensional  ... 
doi:10.5772/7177 fatcat:ol5d5n3unjh6jazth5awyf6mgq

Directional enhancement in texture-based vector field visualization

Francesca Taponecco, Timothy Urness, Victoria Interrante
2006 Proceedings of the 4th international conference on Computer graphics and interactive techniques in Australasia and Southeast Asia - GRAPHITE '06  
We offer new insights based on the specification and classification of neighborhood models for synthesizing a texture that accurately depicts a vector field.  ...  In this paper, we present methods designed to produce oriented and controlled textures that accurately reflect the complex patterns that occur in vector field visualizations.  ...  The feature of edgepreserving smoothing is particularly advantageous to enhance directionality in texture-based vector field visualization.  ... 
doi:10.1145/1174429.1174463 dblp:conf/graphite/TaponeccoUI06 fatcat:dhncs4lge5cz7dxy755okv5n3y

Good features to track for RGBD images

Maxim Karpushin, Giuseppe Valenzise, Frederic Dufaux
2017 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
Our results demonstrate a higher stability to out-of-plane rotations of the proposed RGBD corner detector both in terms of feature repeatability and in a visual odometry application.  ...  In this paper, we propose a novel and robust approach for detecting corners from RGBD images.  ...  While several extensions of blob-based local feature descriptors to RGBD exist in the literature [13, 15, 16, 20] , only [19] provided an explicit formulation of a scale space construction for texture  ... 
doi:10.1109/icassp.2017.7952473 dblp:conf/icassp/KarpushinVD17 fatcat:4cd5n5ltafawrp5rhubsajz7bu

Dense Geometric Flow Visualization [article]

Sung W. Park, Brian Budge, Lars Linsen, Bernd Hamann, Kenneth I. Joy
2005 EUROVIS 2005: Eurographics / IEEE VGTC Symposium on Visualization  
We present a flow visualization technique based on rendering geometry in a dense, uniform distribution. Flow is integrated using particle advection.  ...  By adopting ideas from texture-based techniques and taking advantage of parallelism and programmability of contemporary graphics hardware, we generate streamlines and pathlines addressing both steady and  ...  We thank the members of the Visualization and Computer Graphics Research Group at the Institute for Data Analysis and Visualization (IDAV) at the University of California, Davis.  ... 
doi:10.2312/vissym/eurovis05/021-028 fatcat:wfpihfjieffsvmetsiw6kudgsm

Visual Reconstructability as a Quality Metric for Flow Visualization

Heike Jänicke, Thomas Weidner, David Chung, Robert S. Laramee, Peter Townsend, Min Chen
2011 Computer graphics forum (Print)  
We present a novel approach for the evaluation of 2D flow visualizations based on the visual reconstructability of the input vector fields.  ...  We present a vision-based reconstruction system for the three most commonly-used visual representations of vector fields, namely streamlines, arrow glyphs, and line integral convolution.  ...  We use an adaptive seeding strategy and adaptive distance control. Texture-based Visualization -LIC The LIC algorithm [CL93, SK98] starts with a texture that is initialized with white noise.  ... 
doi:10.1111/j.1467-8659.2011.01927.x fatcat:b6lnhdey6vb6hgr66dukmdeec4

Structure-aware Stylization of Mountainous Terrains [article]

Julian Kratt, Ferdinand Eisenkeil, Marc Spicker, Yunhai Wang, Daniel Weiskopf, Oliver Deussen
2017 International Symposium on Vision, Modeling, and Visualization  
We generate flow fields for each LoD and compute streamlines to direct the production of hatching lines.  ...  Our method consists of two major components: structure-aware terrain filtering and streamline-based hatching.  ...  Acknowledgements The authors want to thank the German Research Foundation (DFG) for financial support within project A04 and B01 of SFB/Transregio 161.  ... 
doi:10.2312/vmv.20171255 dblp:conf/vmv/KrattESWWD17 fatcat:5egevhniq5hhrelvjy4zsfrjcm

Applications of Texture-Based Flow Visualization

Robert S. Laramee, Gordon Erlebacher, Christoph Garth, Tobias Schafhitzel, Holger Theisel, Xavier Tricoche, Tino Weinkauf, Daniel Weiskopf
2008 Engineering Applications of Computational Fluid Mechanics  
An important category of flow visualization techniques makes use of textures in order to convey the properties of a vector field.  ...  We describe the motivations for using texture-based algorithms as well as the important recent advancements required for their successful incorporation into industry grade software.  ...  The CFD simulation data sets are courtesy of AVL, Florida State University, and the Swiss Center for Scientific Computing, amongst others.  ... 
doi:10.1080/19942060.2008.11015227 fatcat:mlbm7ssbqregda5onnz5cmw3gm

Wavelet-based feature-adaptive adaptive resonance theory neural network for texture identification

Jian Wang
1997 Journal of Electronic Imaging (JEI)  
A new method of texture classification comprising two processing stages, namely a low-level evolutionary feature extraction based on Gabor wavelets and a high-level neural network based pattern recognition  ...  Gabor wavelets are used as extractors of "lowlevel" features that feed the feature-adaptive adaptive resonance theory (ART) neural network acting as a high-level "cognitive system."  ...  For each texture, a multidimensional feature vector is constructed based upon the filters used, and for every new input image, the same set of filters is used to construct the feature vector.  ... 
doi:10.1117/12.269902 fatcat:prefq4jtjvab3lgk5xsliyv7dq
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