- AutorIn
- Sebastian Eichelbaum
- Titel
- Image Space Tensor Field Visualization Using a LIC-like Method
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:15-qucosa2-165269
- Schriftenreihe
- Abschluss- und Qualifikationsarbeiten aus der Fakultät für Mathematik und Informatik
- Datum der Einreichung
- 28.02.2009
- Abstract (EN)
- Tensors are of great interest to many applications in engineering and in medical imaging, but a proper analysis and visualization remains challenging. Physics-based visualization of tensor fields has proven to show the main features of symmetric second-order tensor fields, while still displaying the most important information of the data, namely the main directions in medical diffusion tensor data using texture and additional attributes using color-coding, in a continuous representation. Nevertheless, its application and usability remains limited due to its computational expensive and sensitive nature. We introduce a novel approach to compute a fabric-like texture pattern from tensor fields on arbitrary non-selfintersecting surfaces that is motivated by image space line integral convolution (LIC). Our main focus lies on regaining three-dimensionality of the data under user interaction, such as rotation and scaling. We employ a multi-pass rendering approach to estimate proper modification of the LIC noise input texture to support the three-dimensional perception during user interactions.
- Freie Schlagwörter (EN)
- GPU, LIC, physically-based visualization, Tensor visualization
- Klassifikation (DDC)
- 000
- BetreuerIn Hochschule / Universität
- Prof. Dr. Gerik Scheuermann
- Den akademischen Grad verleihende / prüfende Institution
- Universität Leipzig, Leipzig
- Version / Begutachtungsstatus
- angenommene Version / Postprint / Autorenversion
- URN Qucosa
- urn:nbn:de:bsz:15-qucosa2-165269
- Veröffentlichungsdatum Qucosa
- 20.10.2017
- Dokumenttyp
- Diplomarbeit
- Sprache des Dokumentes
- Englisch