2006
DOI: 10.1007/s00530-006-0017-1
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Generating high-quality discrete LOD meshes for 3D computer games in linear time

Abstract: The real-time interactive 3D multimedia applications such as 3D computer games and virtual reality (VR) have become prominent multimedia applications in recent years. In these applications, both visual fidelity and degree of interactivity are usually crucial to the success or failure of employment. Although the visual fidelity can be increased using more polygons for representing an object, it takes a higher rendering cost and adversely affects the rendering efficiency. To balance between the visual quality an… Show more

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Cited by 8 publications
(3 citation statements)
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“…We use the greedy framework with local replacement selection heap [3] because of its memory and time efficiency. We propose the error metric that is used to approximate the error introduced by half edge collapse and is based on distance and normal field deviation.…”
Section: Simplification Of Polygonal Modelsmentioning
confidence: 99%
See 1 more Smart Citation
“…We use the greedy framework with local replacement selection heap [3] because of its memory and time efficiency. We propose the error metric that is used to approximate the error introduced by half edge collapse and is based on distance and normal field deviation.…”
Section: Simplification Of Polygonal Modelsmentioning
confidence: 99%
“…The greedy framework with global heap, employed in [1], [2], [5], [15], produces high quality approximations, but its disadvantages are large memory overhead and large computation time. Using the greedy framework with local heap, as in [3], [4], is more memory and time efficient since the heap size is fixed regardless of the model size, but it may produce less quality approximations. Another alternative is the multiple choice framework, employed in [16]; it re-computes the previously calculated cost of simplification operations, which is the waste of time.…”
Section: Related Workmentioning
confidence: 99%
“…Other frameworks such as local RS-heap [24,25] and multiple-choice approach [26] can also be adopted easily and will result in even more efficiency.…”
Section: Mesh Decimation Algorithmsmentioning
confidence: 99%