Add to ORKGSpot noise and line integral convolution (LIC) are two texture synthesis techniques for vector field visualization. In this paper the two techniques are compared. Continuous directional convolution is used as a common basis for comparing the techniques. It is shown that the techniques are based on the same mathematical concept. Comparisons of the visual appearance of the output and performance of the algorithms are made
We present local and global techniques to visualize three-dimensional vector field data. Using the L...
In this work, a novel approach to scientific visualization and steerable texture synthesis is presen...
We present results from a user study that compared six visualization methods for two- dimensional ve...
textabstractSpot noise and line integral convolution (LIC) are two texture synthesis techniques for ...
Spot noise and line integral convolution (LIC) are two texture synthesis techniques for vector field...
Line Integral Convolution (LIC), introduced by Cabral and Leedom in 1993, is a powerful technique f...
Abstract Line Integral Convolution (LIC), introduced in 1993 by Cabral and Leedom [1], is a powerfu...
Summary. Iterative twofold convolution is proposed as an efficient high-quality two-stage filtering ...
Line Integral Convolution (LIC) is a common approach for the visualization of vector fields. It is w...
Image-space line integral convolution (LIC) is a popular approach for visualizing surface vector fie...
Line Integral Convolution (LIC) is a powerful technique for generating striking images and animation...
Line integral convolution (LIC) is a flow-driven texture generation method that has become one of th...
Line Integral Convolution (LIC) is a common ap-proach for the visualization of 2 0 vector fields. It...
Line integral convolution (LIC) is an effective technique for visual-izing vector fields. The applic...
textabstractThe design and implementation of an interactive spot noise algorithm is presented. Spot ...
We present local and global techniques to visualize three-dimensional vector field data. Using the L...
In this work, a novel approach to scientific visualization and steerable texture synthesis is presen...
We present results from a user study that compared six visualization methods for two- dimensional ve...
textabstractSpot noise and line integral convolution (LIC) are two texture synthesis techniques for ...
Spot noise and line integral convolution (LIC) are two texture synthesis techniques for vector field...
Line Integral Convolution (LIC), introduced by Cabral and Leedom in 1993, is a powerful technique f...
Abstract Line Integral Convolution (LIC), introduced in 1993 by Cabral and Leedom [1], is a powerfu...
Summary. Iterative twofold convolution is proposed as an efficient high-quality two-stage filtering ...
Line Integral Convolution (LIC) is a common approach for the visualization of vector fields. It is w...
Image-space line integral convolution (LIC) is a popular approach for visualizing surface vector fie...
Line Integral Convolution (LIC) is a powerful technique for generating striking images and animation...
Line integral convolution (LIC) is a flow-driven texture generation method that has become one of th...
Line Integral Convolution (LIC) is a common ap-proach for the visualization of 2 0 vector fields. It...
Line integral convolution (LIC) is an effective technique for visual-izing vector fields. The applic...
textabstractThe design and implementation of an interactive spot noise algorithm is presented. Spot ...
We present local and global techniques to visualize three-dimensional vector field data. Using the L...
In this work, a novel approach to scientific visualization and steerable texture synthesis is presen...
We present results from a user study that compared six visualization methods for two- dimensional ve...