Texturing techniques for terrain visualization

Dollner,; Baumann,; Hinrichs,

doi:10.1109/visual.2000.885699

Cited by 44 publications

(32 citation statements)

References 23 publications

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“…Terrains usually compensate small geometric details by textures and as a result, they are often accompanied by huge texture maps. Tanner et al [Tan98a] have introduced the texture clipmaps hierarchy, and Döllner et al [Dol00a] have developed a more general hierarchy to handle large texture maps. Caching techniques enable fast transfer of geometry and texture to graphics hardware.…”

Section: Related Workmentioning

confidence: 99%

Seamless patches for GPU-based terrain rendering

2008

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In this paper we present a novel approach for interactive rendering of large terrain datasets which is based on subdividing the terrain into rectangular patches at different resolutions. Each patch is represented by four triangular tiles which can be at different resolutions; and four strips which are used to stitch the four tiles in a seamless manner. As a result, our scheme maintains resolution changes within patches and not across patches. At runtime, the terrain patches are used to construct a level of detail based on view-parameters. The selected level of detail only includes the layout of the patches and the resolutions at boundary edges. Since adjacent patches agree on the resolution of common edges, the resulted mesh does not include any cracks or degenerate triangles. The GPU generates the meshes of the patches by using scaled instances of cached tiles and assigning elevation for each vertex from the cached textures. Our algorithm manages to achieve quality images at high frame rates while providing seamless transition between different levels of detail. Keywords:

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Section: Related Workmentioning

confidence: 99%

Seamless patches for GPU-based terrain rendering

2008

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“…Tree structures similar to the ones used to represent geometry are usually applied [Döllner et al 2000;Cignoni et al 2003a]. In [Hwa et al 2004], the authors proposed a new texture representation that reduces the necessity of blending the textures between levels of detail.…”

Section: Related Workmentioning

confidence: 99%

GoLD

et al. 2005

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Christian Lahanier † C2RMFFigure 1: GoLD can display both highly tesselated models and highly textured models at low or high resolution. These example models are rendered at interactive rates. From left to right: a Byzantine crypt, a painting by Renoir (250M triangles, one day of scanning); Stanford's model of Michelangelo's St. Matthew (372 M triangles), and a terrain from aerial surveying built from over 100 million data points and 6800 4M-pixel digital photographs. AbstractThis paper presents a new technique for fast, view-dependent, realtime visualization of large multiresolution geometric models with color or texture information. This method uses geomorphing to smoothly interpolate between geometric patches composing a hierarchical level-of-detail structure, and to maintain seamless continuity between neighboring patches of the model. It combines the advantages of view-dependent rendering with numerous additional features: the high performance rendering associated with static preoptimized geometry, the capability to display at both low and high resolution with minimal artefacts, and a low CPU usage since all the geomorphing is done on the GPU. Furthermore, the hierarchical subdivision of the model into a tree structure can be accomplished according to any spatial or topological criteria. This property is particularly useful in dealing with models with high resolution textures derived from digital photographs. Results are presented for both highly tesselated models (372 million triangles), and for models which also contain large quantities of texture (200 million triangles + 20 GB of compressed texture). The method also incorporates asynchronous out-of-core model management. Performances obtained on commodity hardware are in the range of 50 million geomorphed triangles/second for a benchmark model such as Stanford's St. Matthew dataset.

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“…The CLOD methods using hierarchical data structures, such as quadtree [1]- [5], triangle binary tree [6]- [8], longest edge bisection [9], right triangle hierarchies [10], [11], texture hierarchies [12]- [15] and vertex hierarchies [16] are usually executed by the CPU. These methods simplify the geometry efficiently by using CLOD and VFC (View Frustum Culling).…”

Section: Introductionmentioning

confidence: 99%

Geometry Splitting: An Acceleration Technique of Quadtree-Based Terrain Rendering Using GPU

Lee

Shin

2011

IEICE Trans. Inf. & Syst.

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SUMMARYIn terrain visualization, the quadtree is the most frequently used data structure for progressive mesh generation. The quadtree provides an efficient level of detail selection and view frustum culling. However, most applications using quadtrees are performed on the CPU, because the pointer and recursive operation in hierarchical data structure cannot be manipulated in a programmable rendering pipeline. We present a quadtreebased terrain rendering method for GPU (Graphics Processing Unit) execution that uses vertex splitting and triangle splitting. Vertex splitting supports a level of detail selection, and triangle splitting is used for crack removal. This method offers higher performance than previous CPU-based quadtree methods, without loss of image quality. We can then use the CPU for other computations while rendering the terrain using only the GPU.

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Texturing techniques for terrain visualization

Cited by 44 publications

References 23 publications

Seamless patches for GPU-based terrain rendering

Seamless patches for GPU-based terrain rendering

GoLD

Geometry Splitting: An Acceleration Technique of Quadtree-Based Terrain Rendering Using GPU

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