Image Space Tensor Field Visualization Using a LIC-like Method

TitleImage Space Tensor Field Visualization Using a LIC-like Method
Publication TypeThesis
Year of Publication2009
AuthorsEichelbaum, Sebastian
UniversityFakultät für Mathematik und Informatik Universität Leipzig
Thesis TypemastersDiploma Thesis
AbstractTensors 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.