Matches in SemOpenAlex for { <https://semopenalex.org/work/W2779189604> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W2779189604 abstract "Rendering human hair can be a hard task because of the required high super-sampling rate to render thin hair fibers without noticeable aliasing. Additionally, the current state-of-the-art bounding volume hierarchies (BVHs) are not suitable to hair rendering. In fact, the axis-aligned bounding boxes (AABBs) do not tightly bind hair primitives which impacts negatively the intersection tests activity. Both limitations can degrade severely the rendering performance so described in this article, a cone tracing GPU approach coupled with a hybrid bounding volume hierarchy to tackle these problems. The hybrid BVH makes use of both oriented and axis aligned bounding boxes. It is shown that the experiment is able to drastically reduce the super-sampling required to produce aliasing free images while minimizing the number of intersection tests and achieving speedups of up to 4, depending on the scene." @default.
- W2779189604 created "2018-01-05" @default.
- W2779189604 creator A5012600407 @default.
- W2779189604 creator A5024097747 @default.
- W2779189604 creator A5063268058 @default.
- W2779189604 date "2017-01-01" @default.
- W2779189604 modified "2023-09-29" @default.
- W2779189604 title "Efficient Hair Rendering with a GPU Cone Tracing Approach" @default.
- W2779189604 cites W1993572304 @default.
- W2779189604 cites W1995548456 @default.
- W2779189604 cites W2016786673 @default.
- W2779189604 cites W2031909833 @default.
- W2779189604 cites W2060258034 @default.
- W2779189604 cites W2080041390 @default.
- W2779189604 cites W2085684582 @default.
- W2779189604 cites W2104814486 @default.
- W2779189604 cites W2105824580 @default.
- W2779189604 cites W2112622024 @default.
- W2779189604 cites W2112689895 @default.
- W2779189604 cites W2113288858 @default.
- W2779189604 cites W2118520806 @default.
- W2779189604 cites W2138624212 @default.
- W2779189604 cites W2149725090 @default.
- W2779189604 cites W2153935912 @default.
- W2779189604 cites W2155897676 @default.
- W2779189604 cites W2255632905 @default.
- W2779189604 cites W2294012542 @default.
- W2779189604 cites W2294365073 @default.
- W2779189604 cites W2501371842 @default.
- W2779189604 cites W3003849175 @default.
- W2779189604 cites W3005527513 @default.
- W2779189604 cites W3006053767 @default.
- W2779189604 cites W4234722181 @default.
- W2779189604 cites W4237407156 @default.
- W2779189604 cites W4243817721 @default.
- W2779189604 doi "https://doi.org/10.4018/ijcicg.2017010101" @default.
- W2779189604 hasPublicationYear "2017" @default.
- W2779189604 type Work @default.
- W2779189604 sameAs 2779189604 @default.
- W2779189604 citedByCount "0" @default.
- W2779189604 crossrefType "journal-article" @default.
- W2779189604 hasAuthorship W2779189604A5012600407 @default.
- W2779189604 hasAuthorship W2779189604A5024097747 @default.
- W2779189604 hasAuthorship W2779189604A5063268058 @default.
- W2779189604 hasConcept C120665830 @default.
- W2779189604 hasConcept C121332964 @default.
- W2779189604 hasConcept C121483023 @default.
- W2779189604 hasConcept C121684516 @default.
- W2779189604 hasConcept C205711294 @default.
- W2779189604 hasConcept C31972630 @default.
- W2779189604 hasConcept C41008148 @default.
- W2779189604 hasConceptScore W2779189604C120665830 @default.
- W2779189604 hasConceptScore W2779189604C121332964 @default.
- W2779189604 hasConceptScore W2779189604C121483023 @default.
- W2779189604 hasConceptScore W2779189604C121684516 @default.
- W2779189604 hasConceptScore W2779189604C205711294 @default.
- W2779189604 hasConceptScore W2779189604C31972630 @default.
- W2779189604 hasConceptScore W2779189604C41008148 @default.
- W2779189604 hasLocation W27791896041 @default.
- W2779189604 hasOpenAccess W2779189604 @default.
- W2779189604 hasPrimaryLocation W27791896041 @default.
- W2779189604 hasRelatedWork W1527396855 @default.
- W2779189604 hasRelatedWork W2046202356 @default.
- W2779189604 hasRelatedWork W2051734040 @default.
- W2779189604 hasRelatedWork W2051751370 @default.
- W2779189604 hasRelatedWork W2344433212 @default.
- W2779189604 hasRelatedWork W2383472107 @default.
- W2779189604 hasRelatedWork W2386089731 @default.
- W2779189604 hasRelatedWork W2418687293 @default.
- W2779189604 hasRelatedWork W2494469385 @default.
- W2779189604 hasRelatedWork W2600701474 @default.
- W2779189604 hasRelatedWork W2770739854 @default.
- W2779189604 hasRelatedWork W2904292184 @default.
- W2779189604 hasRelatedWork W2906270595 @default.
- W2779189604 hasRelatedWork W2912748365 @default.
- W2779189604 hasRelatedWork W2921932491 @default.
- W2779189604 hasRelatedWork W3010988735 @default.
- W2779189604 hasRelatedWork W3115505140 @default.
- W2779189604 hasRelatedWork W2737184465 @default.
- W2779189604 hasRelatedWork W2801651030 @default.
- W2779189604 hasRelatedWork W2819785503 @default.
- W2779189604 isParatext "false" @default.
- W2779189604 isRetracted "false" @default.
- W2779189604 magId "2779189604" @default.
- W2779189604 workType "article" @default.