Flow visualization motivates to a large extent recent research efforts in scientific visualization. The continuous improvement of resources for data generation and analysis allows researchers and engineers to produce large multivariate 3D data sets with improving speed and accuracy. Analyzing and interpreting such datasets without appropriate tools is beyond the capability of the human brain. Scientific visualization and flow visualization in particular aim to provide such tools. The approach we advocate is to follow a visualization process involving data preprocessing, visualization mapping, and rendering. We address the issues related to the second step, namely visualization mappings of vector and tensor data in flow fields. We place this process in perspective to other fields of scientific study by taking the point of view of representation theory. This allows us to classify visualization techniques and to provide a unified framework for analyzing various vector and tensor mappings.<>


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    Titel :

    Research issues in vector and tensor field visualization


    Beteiligte:
    Hesselink, L. (Autor:in)


    Erscheinungsdatum :

    01.01.1994


    Format / Umfang :

    153041 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Research Issues in Vector and Tensor Field Visualization

    Hesselink, L. / IEEE; Computer Society Technical Committee on Pattern Analysis and Machine Intelligence / IEEE; Computer Society Technical Committee on Computer Graphics | British Library Conference Proceedings | 1994


    Estimation of Motion Vector Fields using Tensor Field Filtering

    Westin, C.-F. / Knutsson, H. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994



    Vector Field Visualization: Analysis of Feature Extraction Methods

    Harikumar, G. / Bresler, Y. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994