Browsing 32-Issue 8 by Title

Now showing items 20-24 of 24

    • SCALe-invariant Integral Surfaces 

      Zanni, C.; Bernhardt, A.; Quiblier, M.; Cani, M.-P. (The Eurographics Association and Blackwell Publishing Ltd., 2013)
      Extraction of skeletons from solid shapes has attracted quite a lot of attention, but less attention was paid so far to the reverse operation: generating smooth surfaces from skeletons and local radius information. Convolution ...

    • Sketch-Based Editing Tools for Tumour Segmentation in 3D Medical Images 

      Heckel, Frank; Moltz, Jan H.; Tietjen, Christian; Hahn, Horst K. (The Eurographics Association and Blackwell Publishing Ltd., 2013)
      In the past years sophisticated automatic segmentation algorithms for various medical image segmentation problems have been developed. However, there are always cases where automatic algorithms fail to provide an acceptable ...

    • Sketch-to-Design: Context-Based Part Assembly 

      Xie, Xiaohua; Xu, Kai; Mitra, Niloy J.; Cohen-Or, Daniel; Gong, Wenyong; Su, Qi; Chen, Baoquan (The Eurographics Association and Blackwell Publishing Ltd., 2013)
      Designing 3D objects from scratch is difficult, especially when the user intent is fuzzy and lacks a clear target form. We facilitate design by providing reference and inspiration from existing model contexts. We rethink ...

    • Spherical Fibonacci Point Sets for Illumination Integrals 

      Marques, R.; Bouville, C.; Ribardière, M.; Santos, L. P.; Bouatouch, K. (The Eurographics Association and Blackwell Publishing Ltd., 2013)
      Quasi-Monte Carlo (QMC) methods exhibit a faster convergence rate than that of classic Monte Carlo methods. This feature has made QMC prevalent in image synthesis, where it is frequently used for approximating the value ...

    • Visual Analysis of Multi‐Dimensional Categorical Data Sets 

      Broeksema, Bertjan; Telea, Alexandru C.; Baudel, Thomas (The Eurographics Association and Blackwell Publishing Ltd., 2013)
      We present a set of interactive techniques for the visual analysis of multi‐dimensional categorical data. Our approach is based on multiple correspondence analysis (MCA), which allows one to analyse relationships, patterns, ...