Browsing by Title

Now showing items 5620-5639 of 17315

    • Feature Exploration using Local Frequency Distributions in Computed Tomography Data 

      Falk, Martin; Ljung, Patric; Lundström, Claes; Ynnerman, Anders; Hotz, Ingrid (The Eurographics Association, 2020)
      Frequency distributions (FD) are an important instrument when analyzing and investigating scientific data. In volumetric visualization, for example, frequency distributions visualized as histograms, often assist the user ...

    • Feature Extraction and Classifier Combination for Image-based Sketch Recognition 

      Tumen, R. Sinan; Acer, M. Emre; Sezgin, T. Metin (The Eurographics Association, 2010)
      Image-based approaches to sketch recognition typically cast sketch recognition as a machine learning problem. In systems that adopt image-based recognition, the collected ink is generally fed through a standard three stage ...

    • Feature Extraction and Visualisation of Flow Fields 

      Post, Frits H.; Vrolijk, Benjamin; Hauser, Helwig; Laramee, Robert S.; Doleisch, Helmut (Eurographics Association, 2002)
      Flow visualisation has already been a very attractive part of visualisation research for a long time. Usually very large data sets need to be processed, which often consist of multivariate data with a large number of sample ...

    • Feature Extraction for Visual Analysis of DW-MRI Data 

      Schultz, Thomas (Schultz, Thomas, 2009-06-18)
      Diffusion Weighted Magnetic Resonance Imaging (DW-MRI) is a recentmodality to investigate the major neuronal pathways of the humanbrain. However, the rich DW-MRI datasets cannot be interpreted withoutproper preprocessing. ...

    • Feature Flow Fields 

      Theisel, H.; Seidel, H.-P. (The Eurographics Association, 2003)
      Feature tracking algorithms for instationary vector fields are usually based on a correspondence analysis of the features at different time steps. This paper introduces a method for feature tracking which is based on the ...

    • Feature Generation for Adaptive Gradient-Domain Path Tracing 

      Back, Jonghee; Yoon, Sung-Eui; Moon, Bochang (The Eurographics Association and John Wiley & Sons Ltd., 2018)
      In this paper, we propose a new technique to incorporate recent adaptive rendering approaches built upon local regression theory into a gradient-domain path tracing framework, in order to achieve high-quality rendering ...

    • Feature Identification and Extraction in Function Fields 

      Anderson, John C.; Gosink, Luke J.; Duchaineau, Mark A.; Joy, Kenneth I. (The Eurographics Association, 2007)
      We present interactive techniques for identifying and extracting features in function fields. Function fields map points in n-dimensional Euclidean space to 1-dimensional scalar functions. Visual feature identification is ...

    • Feature Identification in Archaeological Fragments Using Families of Algebraic Curves 

      Torrente, Maria-Laura; Biasotti, Silvia; Falcidieno, Bianca (The Eurographics Association, 2016)
      A method is proposed to identify and localize semantic features like anatomical characteristics or decorations on digital artefacts or fragments, even if the features are partially damaged or incomplete. This technique is ...

    • Feature interference in free form template matching 

      Song, Y.; Vergeest, J. S. M.; Horvath, I. (Eurographics Association, 2002)
      Template matching is a useful method in the reconstruction of free form surfaces. In this paper, matching of free form surfaces with parameterized templates is studied with the emphasis on feature interference. By their ...

    • Feature Model Visualization 

      Bronsvoort, Willem F.; Bidarra, Rafael; Noort, Alex (Blackwell Publishers, Inc and the Eurographics Association, 2002)
      Feature modelling is now the predominant way of modelling products. Feature visualization is an important aspect here that can still be considerably improved. In this paper, an integrated way of visualizing feature models ...

    • Feature of Interest‐Based Direct Volume Rendering Using Contextual Saliency‐Driven Ray Profile Analysis 

      Jung, Y.; Kim, J.; Kumar, A.; Feng, D.D.; Fulham, M. (© 2018 The Eurographics Association and John Wiley & Sons Ltd., 2018)
      Direct volume rendering (DVR) visualization helps interpretation because it allows users to focus attention on the subset of volumetric data that is of most interest to them. The ideal visualization of the features of ...

    • Feature Oriented Progressive Lossless Mesh Coding 

      Peng, Jingliang; Huang, Yan; Kuo, C.-C. Jay; Eckstein, Ilya; Gopi, M. (The Eurographics Association and Blackwell Publishing Ltd, 2010)
      A feature-oriented generic progressive lossless mesh coder (FOLProM) is proposed to encode triangular meshes with arbitrarily complex geometry and topology. In this work, a sequence of levels of detail (LODs) are generated ...

    • Feature preserving Delaunay mesh generation from 3D multi-material images 

      Boltcheva, Dobrina; Yvinec, Mariette; Boissonnat, Jean-Daniel (The Eurographics Association and Blackwell Publishing Ltd, 2009)
      Generating realistic geometric models from 3D segmented images is an important task in many biomedical applications. Segmented 3D images impose particular challenges for meshing algorithms because they contain multi-material ...

    • Feature Preserving Mesh Generation from 3D Point Clouds 

      Nader Salman; Mariette Yvinec; Quentin Merigot (2010)
      We address the problem of generating quality surface triangle meshes from 3D point clouds sampled on piecewise smooth surfaces. Using a feature detection process based on the covariance matrices of Voronoi cells, we first ...

    • Feature Preserving Octree-Based Hexahedral Meshing 

      Gao, Xifeng; Shen, Hanxiao; Panozzo, Daniele (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We propose an octree-based algorithm to tessellate the interior of a closed surface with hexahedral cells. The generated hexahedral mesh (1) explicitly preserves sharp features of the original input, (2) has a maximal, ...

    • Feature Preserving Point Set Surfaces based on Non-Linear Kernel Regression 

      Oeztireli, A. C.; Guennebaud, G.; Gross, M. (The Eurographics Association and Blackwell Publishing Ltd, 2009)
      Moving least squares (MLS) is a very attractive tool to design effective meshless surface representations. However, as long as approximations are performed in a least square sense, the resulting definitions remain sensitive ...

    • Feature Preserving Sketching of Volume Data 

      Kerber, Jens; Bokeloh, Martin; Wand, Michael; Krüger, Jens; Seidel, Hans-Peter (The Eurographics Association, 2010)
      In this paper, we present a novel method for extracting feature lines from volume data sets. This leads to a reduction of visual complexity and provides an abstraction of the original data to important structural features. ...

    • Feature Representation for High‐resolution Clothed Human Reconstruction 

      Pu, Juncheng; Liu, Li; Fu, Xiaodong; Su, Zhuo; Liu, Lijun; Peng, Wei (© 2023 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2023)
      Detailed and accurate feature representation is essential for high‐resolution reconstruction of clothed human. Herein we introduce a unified feature representation for clothed human reconstruction, which can adapt to ...

    • Feature Selection for Enhanced Spectral Shape Comparison 

      Marini, Simone; Patané, Giuseppe; Spagnuolo, Michela; Falcidieno, Bianca (The Eurographics Association, 2010)
      In the context of shape matching, this paper proposes a framework for selecting the Laplacian eigenvalues of 3D shapes that are more relevant for shape comparison and classification. Three approaches are compared to identify ...

    • Feature Sensitive Remeshing 

      Vorsatz, J.; Rossl, C.; Kobbelt, L. P.; Seidel, H.-P. (Blackwell Publishers Ltd and the Eurographics Association, 2001)
      Remeshing artifacts are a fundamental problem when converting a given geometry into a triangle mesh. We propose a new remeshing technique that is sensitive to features. First, the resolution of the mesh is iteratively ...