Line Integral Convolution (LIC) is a common ap-proach for the visualization of 2 0 vector fields. It is well suited for visualizing the direction of a flow field, but it gives no information about the orientation of the underlying vectors. We introduce Oriented Line Integral Convolution (OLIC), where direction as well as orientation are encoded within the resulting image. This is achieved b y using a sparse input texture and a ramp like (anisotropic) convolution kernel. This method can be used for animations, whe,reby the com-putation of so called pixel traces fastens the calculation process. In the result section various OLICs illustrat-ing simple and real-world vector fields are shown.
Image-space line integral convolution (LIC) is a popular approach for visualizing surface vector fie...
The use of textures provides a rich and diverse set of possibilities for the visualization of flow d...
The use of textures provides a rich and diverse set of possibilities for the visualization of flow d...
Line Integral Convolution (LIC) is a common approach for the visualization of vector fields. It is w...
Line Integral Convolution (LIC) is a powerful technique for generating striking images and animation...
Fast Oriented Line Integral Convolution (FROLIC), which is a variant of LIC, illustrates 2D vector f...
Line integral convolution (LIC) is an effective technique for visual-izing vector fields. The applic...
and Leedom in Siggraph '93, is a powerful technique for imaging and animating vector fields. We...
Abstract Line Integral Convolution (LIC), introduced in 1993 by Cabral and Leedom [1], is a powerfu...
Line Integral Convolution (LIC), introduced by Cabral and Leedom in 1993, is a powerful technique f...
We present local and global techniques to visualize three-dimensional vector field data. Using the L...
https://doi.org/10.21949/14036731995PDFResearch PaperNAS 2-14303AviationFlow fieldsFlow visualizatio...
Graduation date: 2007The Line Integral Convolution (LIC) is a mainstay of flow visualization. It is,...
Line integral convolution (LIC) is a flow-driven texture generation method that has become one of th...
Spot noise and line integral convolution (LIC) are two texture synthesis techniques for vector field...
Image-space line integral convolution (LIC) is a popular approach for visualizing surface vector fie...
The use of textures provides a rich and diverse set of possibilities for the visualization of flow d...
The use of textures provides a rich and diverse set of possibilities for the visualization of flow d...
Line Integral Convolution (LIC) is a common approach for the visualization of vector fields. It is w...
Line Integral Convolution (LIC) is a powerful technique for generating striking images and animation...
Fast Oriented Line Integral Convolution (FROLIC), which is a variant of LIC, illustrates 2D vector f...
Line integral convolution (LIC) is an effective technique for visual-izing vector fields. The applic...
and Leedom in Siggraph '93, is a powerful technique for imaging and animating vector fields. We...
Abstract Line Integral Convolution (LIC), introduced in 1993 by Cabral and Leedom [1], is a powerfu...
Line Integral Convolution (LIC), introduced by Cabral and Leedom in 1993, is a powerful technique f...
We present local and global techniques to visualize three-dimensional vector field data. Using the L...
https://doi.org/10.21949/14036731995PDFResearch PaperNAS 2-14303AviationFlow fieldsFlow visualizatio...
Graduation date: 2007The Line Integral Convolution (LIC) is a mainstay of flow visualization. It is,...
Line integral convolution (LIC) is a flow-driven texture generation method that has become one of th...
Spot noise and line integral convolution (LIC) are two texture synthesis techniques for vector field...
Image-space line integral convolution (LIC) is a popular approach for visualizing surface vector fie...
The use of textures provides a rich and diverse set of possibilities for the visualization of flow d...
The use of textures provides a rich and diverse set of possibilities for the visualization of flow d...