BDAM — Batched Dynamic Adaptive Meshes for High Performance Terrain Visualization

Cignoni, Paolo; Ganovelli, Fabio; Gobbetti, Enrico; Marton, Fabio; Ponchio, Federico; Scopigno, Roberto

doi:10.1111/1467-8659.00698

Cited by 157 publications

(109 citation statements)

References 23 publications

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“…On comparable hardware we expect that BDAM [Cig03a], Clipmap [Asi05a], and the algorithm suggested in [Hwa04a] will achieve about 46M, 44M, and 43M textured triangles per second, respectively. Our algorithm manages to achieve 53M textured triangles per second on average.…”

Section: Resultsmentioning

confidence: 99%

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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: Resultsmentioning

confidence: 99%

“…Various approaches cache triangulated regions in texture memory [Cig03a,Cig03b,Lar03a,Lev02a], while others exploit the geometric locality to maximize the efficiency of the cache [Hop99a]. Terrains usually compensate small geometric details by textures and as a result, they are often accompanied by huge texture maps.…”

Section: Related Workmentioning

confidence: 99%

Seamless patches for GPU-based terrain rendering

2008

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“…The test case discussed in this paper concerns the preprocessing and interactive exploration of a terrain dataset of the Nice metropolitan area 1 . We used a 8K x 8K elevation grid with 100 centimeter horizontal resolution.…”

Section: Resultsmentioning

confidence: 99%

“…We summarize here the main concepts behind BDAM. Please refer to the original papers for further details [1,2].…”

Section: Methods and Toolsmentioning

confidence: 99%

Interactive Out-of-Core Visualisation of Very Large Landscapes on Commodity Graphics Platform

Cignoni

Ganovelli

Gobbetti

et al. 2003

Lecture Notes in Computer Science

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Abstract.We recently introduced an efficient technique for out-of-core rendering and management of large textured landscapes. The technique, called Batched Dynamic Adaptive Meshes (BDAM), is based on a paired tree structure: a tiled quadtree for texture data and a pair of bintrees of small triangular patches for the geometry. These small patches are TINs that are constructed and optimized off-line with high quality simplification and tristripping algorithms. Hierarchical view frustum culling and view-dependendent texture/geometry refinement is performed at each frame with a stateless traversal algorithm that renders a continuous adaptive terrain surface by assembling out of core data. Thanks to the batched CPU/GPU communication model, the proposed technique is not processor intensive and fully harnesses the power of current graphics hardware. This paper summarizes the method and discusses the results obtained in a virtual flythrough over a textured digital landscape derived from aerial imaging.

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“…Batched dynamic adaptive meshes (BDAM) [11] and HyperBlock-QuadTIN [12] show that semi-continuous irregular triangular mesh optimization can still be done efficiently, avoiding bottlenechs encountered by CPU-based techniques such as ROAM [13]. For instance, BDAM uses a top-down refinement which is based on bintree.…”

Section: Introductionmentioning

confidence: 99%

Construction and Scheduling of Multi-resolution LOD Terrain in Super Low-Altitude Flight

Zou¹,

Bian²,

Chen³

et al. 2015

IJCEE

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Abstract:In visual navigation system, a method of construction and scheduling of multi-resolution LOD terrain is designed according to the influence of terrain precision on super low flight. First, the tiled pyramid is constituted to manage the terrain data, which is organized by quadtree. The terrain complexity-based node selection criterion is used to select the required blocks for rendering. Then, the structural similarity of quadtree nodes is made use of to symmetrically cluster two-level nodes, which is suitable for batch scheduling of terrain data. Experimental results show that this method improves the terrain precise from a certain range of the aircraft, reduces the frequency of data scheduling, and enhances the rendering frame rates of navigation scene.

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BDAM — Batched Dynamic Adaptive Meshes for High Performance Terrain Visualization

Abstract: This paper describes an efficient technique for out-of-

Cited by 157 publications

References 23 publications

Seamless patches for GPU-based terrain rendering

Seamless patches for GPU-based terrain rendering

Interactive Out-of-Core Visualisation of Very Large Landscapes on Commodity Graphics Platform

Construction and Scheduling of Multi-resolution LOD Terrain in Super Low-Altitude Flight

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