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HOQ-Driven HLOD Refinement

Name: HOQ-Driven HLOD Refinement
Brand: VDM Verlag
SKU: 9783639233803
Price: 51.03 EUR
Availability: InStock

Автор: Jean Pierre Charalambos

Език:

Корици: С меки корици

Издател: VDM Verlag

Наличност: Налично при издателя, по поръчка

Изпращаме след 17-27 дни

51.03 € 99.81 лв

In order to achieve interactive rendering of complex models comprising several millions of polygons,...

Информация за книгата

Автор

Jean Pierre Charalambos

Език

Английски език

Корици

Книга - С меки корици

Издадена

2010

страници

EAN

9783639233803

ISBN

3639233808

Enbook ID

06831103

Издател

VDM Verlag

Теглоt

Размери

152 x 229 x 3

Пълно описание

In order to achieve interactive rendering of complex models comprising several millions of polygons, the amount of processed data has to be substantially reduced. Two of the most common approaches, orthogonal between each other, to accomplishing this task are: level-of-detail and occlusion culling. This thesis mainly aims at combining these two approaches. A novel error metric is presented which takes visibility information gathered from Hardware Occlusion Queries (HOQs), as an integral part of refining a Hierarchical Level-Of-Detail (HLOD) model. A novel traversal algorithm for HLOD refinement is also presented for taking full advantage of the introduced HOQ-based error metric. The algorithm minimises CPU stalls and GPU starvation by predicting HLOD refinement conditions using spatio-temporal coherence of visibility. Some properties of our approach involve improved performance having the same visual quality. Our error metric supports both polygon-based and point-based HLODs, ensuring full use of HOQ results. Our traversal algorithm makes full use of the spatial and temporal coherency inherent in hierarchical representations. Our approach can be straightforwardly implemented.

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HOQ-Driven HLOD Refinement

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