Line Integral Convolution for 3D Surfaces

Mao, Xiaoyang; Kikukawa, Makoto; Fujita, Noboru; Imamiya, Atsumi

doi:10.1007/978-3-7091-6876-9_6

Cited by 24 publications

(18 citation statements)

References 9 publications

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“…Much work has been done on extending the usefulness, quality and efficiency of the original LIC method [2][3][4][5][6][7][8][9][10] . It has been especially successful for visualizing 2D vector fields.…”

Section: Introductionmentioning

confidence: 99%

<title>Comprehensible volume LIC rendering based on 3D significance map</title>

2002

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Although texture-based methods provide a very promising way to visualize 3D vector fields, their dense 3D texture hinders the visualization of a 3D volume. In this paper, we introduce the concept of "3D significance map", and describe how significance values are derived from the intrinsic properties of a vector field. Based on the 3D significance map, we can control transfer functions for comprehensible LIC volume rendering by highlighting significant regions and neglecting insignificant information. We also present a 3D streamline illumination model that can reveal the flow direction embedded in a solid LIC texture. Experimental results illustrate the feasibility of our method.

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Section: Introductionmentioning

confidence: 99%

<title>Comprehensible volume LIC rendering based on 3D significance map</title>

2002

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“…Note that the above computation uses the original 3D streamlines whereas 2D streamlines projected onto arbitrary surfaces are used in [10].…”

Section: Lic Solid Texture Generationmentioning

confidence: 99%

“…Their method unfortunately involves the defect of texture distortions caused by the two-way nonlinear mappings between the computational and physical spaces. Mao, et al [10] presented another 3D LIC method, which performs the convolution operation directly in the physical space so that resultant textures do not suffer from any artifacts due to misaligned local texture grids and image interpolation during rendering. However, both 3D LIC methods are limited to the delineation of LIC texture on 3D surfaces, and cannot grasp the whole interior structures of flow fields.…”

Section: Introductionmentioning

confidence: 99%

Case study: hardware-accelerated selective LIC volume rendering

Сузуки¹,

Fujishiro²,

Chen³

et al.

IEEE Visualization, 2002. VIS 2002.

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Line Integral Convolution (LIC) is a promising method for visualizing 2D dense flow fields. Direct extensions of the LIC method to 3D have not been considered very effective, because optical integration in viewing directions tends to spoil the coherent structures along 3D local streamlines. In our previous reports, we have proposed a selective approach to volume rendering of LIC solid texture using 3D significance map (S-map), derived from the characteristics of flow structures, and a specific illumination model for 3D streamlines. In this paper, we take full advantage of scalar volume rendering hardware, such as VolumePro, to realize a realtime 3D flow field visualization environment with the LIC volume rendering method.

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“…Although most frequently used to represent 2D flow, or flow across a surface in 3D [8,3,22,14,11], LIC methods can equivalently be employed to illustrate flow in a volume [4,18]. The popularity of LIC as a tool for 3D flow visualization has historically been limited, however, by the difficulties inherent in clearly and effectively portraying dense volume textures.…”

Section: Introductionmentioning

confidence: 99%

Strategies for effectively visualizing 3D flow with volume LIC

Interrante¹,

Grosch

Proceedings. Visualization '97 (Cat. No. 97CB36155)

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This paper discusses strategies for effectively portraying 3D flow using volume line integral convolution. Issues include defining an appropriate input texture, clarifying the distinct identities and relative depths of the advected texture elements, and selectively highlighting regions of interest in both the input and output volumes. Apart from offering insights into the greater potential of 3D LIC as a method for effectively representing flow in a volume, a principal contribution of this work is the suggestion of a technique for generating and rendering 3D visibilityimpeding "halos" that can help to intuitively indicate the presence of depth discontinuities between contiguous elements in a projection and thereby clarify the 3D spatial organization of elements in the flow. The proposed techniques are applied to the visualization of a hot, supersonic, laminar jet exiting into a colder, subsonic coflow.

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Line Integral Convolution for 3D Surfaces

Cited by 24 publications

References 9 publications

<title>Comprehensible volume LIC rendering based on 3D significance map</title>

<title>Comprehensible volume LIC rendering based on 3D significance map</title>

Case study: hardware-accelerated selective LIC volume rendering

Strategies for effectively visualizing 3D flow with volume LIC

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