Fast oriented line integral convolution for vector field visualization via the Internet

Wegenkittl,; Groller,

doi:10.1109/visual.1997.663897

Cited by 25 publications

(19 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With these techniques, the noisiness of the texture makes it difficult to show the magnitude of the flow vector. Oriented line integral convolution (OLIC) allows the flow to be shown as separate small "traces," where the length of the trace corresponds to the velocity [25]. By coloring the "traces" or texture using our classification scheme, the advantages of both techniques are combined.…”

Section: B Two-dimensional Section Visualizationmentioning

confidence: 99%

Computation and visualization of three-dimensional soft tissue motion in the orbit

Abràmoff

Viergever

2002

IEEE Trans. Med. Imaging

View full text Add to dashboard Cite

This work presents a method to measure the soft tissue motion in three dimensions in the orbit during gaze. It has been shown that two-dimensional (2-D) quantification of soft tissue motion in the orbit is effective in the study of orbital anatomy and motion disorders. However, soft tissue motion is a three-dimensional (3-D) phenomenon and part of the kinematics is lost in any 2-D measurement. Therefore, T1-weighted magnetic resonance (MR) imaging volume sequences are acquired during gaze and soft tissue motion is quantified using a generalization of the Lucas and Kanade optical flow algorithm to three dimensions. New techniques have been developed for visualizing the 3-D flow field as a series of color-texture mapped 2-D slices or as a combination of volume rendering for display of the anatomy and scintillation rendering for the display of the motion field. We have studied the performance of the algorithm on four-dimensional volume sequences of synthetic motion, simulated motion of a static object imaged by MR, an MR-imaged rotating object and MR-imaged motion in the human orbit during gaze. The accuracy of the analysis is sufficient to characterize motion in the orbit and scintillation rendering is an effective visualization technique for 3-D motion in the orbit.

show abstract

Section: B Two-dimensional Section Visualizationmentioning

confidence: 99%

Computation and visualization of three-dimensional soft tissue motion in the orbit

Abràmoff

Viergever

2002

IEEE Trans. Med. Imaging

View full text Add to dashboard Cite

show abstract

“…4) Calculate a streamlet using the previously selected droplet. The length of the streamlet is determined by the complexity of the region that contains the droplet.…”

Section: A Algorithm Overviewmentioning

confidence: 99%

“…The increasing intensity of streamlets encodes the orientation of flow streams. To improve the efficiency of OLIC, the fast rendering OLIC (FROLIC) was proposed in [4], where streamlets generated by integration in OLIC are approximated by a set of small disks along short streamlines.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Feature Emphasized OLIC for 2D Flow Visualization

Liu

Zhang

Wang

et al. 2013

2013 Ninth International Conference on Computational Intelligence and Security

View full text Add to dashboard Cite

In order to emphasize features in flow textures while preserving the orientation of flows in 2D fields, a new method to generate flow textures with non-uniform streamlets is proposed in this paper. In the method, a control grid is built and divided into different regions that reflect the complexity of the underlying flow field. The resulting regions are then used to control to the distribution of droplets and the corresponding calculation of streamlets involved in OLIC. By this means, streamlets are dense around salient flow features, while in other areas they are sparse. The disparity of streamlets highlights features in flow fields. Test results show that our method can achieve pleasing visual effect. It is flexible and superior to the original OLIC.

show abstract

“…Both spot noise and LIC are ambivalent with respect to the direction of the flow. Wegenkittl et al [14] present a modification of LIC algorithm in which sparse input textures are combined with an oriented filter. In this way the ambivalence in the direction is addressed.…”

Section: Extensionsmentioning

confidence: 99%

Comparing LIC and spot noise

Leeuw¹,

Liere²

Proceedings Visualization '98 (Cat. No.98CB36276)

View full text Add to dashboard Cite

Spot 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.

show abstract

Fast oriented line integral convolution for vector field visualization via the Internet

Cited by 25 publications

References 15 publications

Computation and visualization of three-dimensional soft tissue motion in the orbit

Computation and visualization of three-dimensional soft tissue motion in the orbit

Feature Emphasized OLIC for 2D Flow Visualization

Comparing LIC and spot noise

Contact Info

Product

Resources

About