Literature DB >> 17080830

High-level user interfaces for transfer function design with semantics.

Christof Rezk Salama1, Maik Keller, Peter Kohlmann.   

Abstract

Many sophisticated techniques for the visualization of volumetric data such as medical data have been published. While existing techniques are mature from a technical point of view, managing the complexity of visual parameters is still difficult for non-expert users. To this end, this paper presents new ideas to facilitate the specification of optical properties for direct volume rendering. We introduce an additional level of abstraction for parametric models of transfer functions. The proposed framework allows visualization experts to design high-level transfer function models which can intuitively be used by non-expert users. The results are user interfaces which provide semantic information for specialized visualization problems. The proposed method is based on principal component analysis as well as on concepts borrowed from computer animation.

Mesh:

Year:  2006        PMID: 17080830     DOI: 10.1109/TVCG.2006.148

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  6 in total

Review 1.  Volume visualization: a technical overview with a focus on medical applications.

Authors:  Qi Zhang; Roy Eagleson; Terry M Peters
Journal:  J Digit Imaging       Date:  2011-08       Impact factor: 4.056

2.  Multi-dimensional Reduction and Transfer Function Design using Parallel Coordinates.

Authors:  X Zhao; A Kaufman
Journal:  Vol Graph       Date:  2010

3.  Modified Dendrogram of High-dimensional Feature Space for Transfer Function Design.

Authors:  Lei Wang; Xin Zhao; Arie Kaufman
Journal:  Visualization (Los Alamitos Calif)       Date:  2012-01

4.  An interactive visualization tool for multi-channel confocal microscopy data in neurobiology research.

Authors:  Yong Wan; Hideo Otsuna; Chi-Bin Chien; Charles Hansen
Journal:  IEEE Trans Vis Comput Graph       Date:  2009 Nov-Dec       Impact factor: 4.579

5.  Exploring and visualizing multidimensional data in translational research platforms.

Authors:  William Dunn; Anita Burgun; Marie-Odile Krebs; Bastien Rance
Journal:  Brief Bioinform       Date:  2017-11-01       Impact factor: 11.622

6.  Semantics by analogy for illustrative volume visualization.

Authors:  Moritz Gerl; Peter Rautek; Tobias Isenberg; Eduard Gröller
Journal:  Comput Graph       Date:  2012-05       Impact factor: 1.936

  6 in total

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