The motion map: efficient computation of steady flow animations

Jobard,; Lefer,

doi:10.1109/visual.1997.663899

Cited by 23 publications

(19 citation statements)

References 11 publications

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“…In general terms, the visual appearance of PLIC is very similar to those of LIC images, spot noise [21,3], and textured streamlines [10]. We now describe our approach and how it differs from previous work.…”

Section: Related Workmentioning

confidence: 97%

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PLIC: bridging the gap between streamlines and LIC

Verma¹,

Kao²,

Pang³

1999

Proceedings Visualization '99 (Cat. No.99CB37067)

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This paper explores mapping strategies for generating LIC-like images from streamlines and streamline-like images from LIC. The main contribution of this paper is a technique which we call pseudo-LIC or PLIC. By adjusting a small set of key parameters, PLIC can generate flow visualizations that span the spectrum of streamlinelike to LIC-like images. Among the advantages of PLIC are: image quality comparable with LIC, performance speedup over LIC, use of a template texture that is independent of the size of the flow field, handles the problem of multiple streamlines occupying the same pixel in image space, reduced aliasing, applicability to time varying data sets, and variable speed animation.

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Section: Related Workmentioning

confidence: 97%

“…To address this problem, image-guided strategies were proposed to give a more uniformly distributed set of streamlines [20], and was subsequently improved to converge faster [11]. In addition, there have also been previous efforts in animating steady flows using color table animation [7] and cyclical set of textures [10].…”

Section: Related Workmentioning

confidence: 99%

PLIC: bridging the gap between streamlines and LIC

Verma¹,

Kao²,

Pang³

1999

Proceedings Visualization '99 (Cat. No.99CB37067)

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“…Yet many authors have proposed that animation should provide an effective method for flow visualization. Animation techniques include color table animation [Jobard and Lefer, 1997;Lefer et al 2004;Laramee et al 2004] where cycling through a color look up table causes a visual pattern to move over a field. The line integral convolution (LIC) method has also frequently been animated (e.g.…”

Section: Effective Display Of Vector Fieldsmentioning

confidence: 99%

“…We used the Jobard and Lefer [1997] algorithm to generate the streamlines and created tear drop patterns along the streamlines to show the directionality. The teardrop shapes were scaled according to velocity.…”

Section: Static Equally Spaced Streamlines (Jl)mentioning

confidence: 99%

Animated versus static views of steady flow patterns

Ware

Bolan

Miller

et al. 2016

Proceedings of the ACM Symposium on Applied Perception

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Two experiments were conducted to test the hypothesis that animated representations of vector fields are more effective than common static representations even for steady flow. We compared four flow visualization methods: animated streamlets, animated orthogonal line segments (where short lines were elongated orthogonal to the flow direction but animated in the direction of flow), static equally spaced streamlines, and static arrow grids. The first experiment involved a pattern detection task in which the participant searched for an anomalous flow pattern in a field of similar patterns. The results showed that both the animation methods produced more accurate and faster responses. The second experiment involved mentally tracing an advection path from a central dot in the flow field and marking where the path would cross the boundary of a surrounding circle. For this task the animated streamlets resulted in better performance than the other methods, but the animated orthogonal particles resulted in the worst performance. We conclude with recommendations for the representation of steady flow patterns.

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“…Sakamoto [8] made maps of human locomotion using motion data obtained from a motion capture system, and Jobard [9] used motion maps similar to ours, containing field vectors, which he used to achieve liquid-like flow in his animations. However, we create our motion maps in a different way, using the block matching method [10] to estimate motion, and combining that with edge information extracted by a Canny edge filter.…”

Section: Related Workmentioning

confidence: 99%