author_facet Bittner, J.
Meister, D.
Bittner, J.
Meister, D.
author Bittner, J.
Meister, D.
spellingShingle Bittner, J.
Meister, D.
Computer Graphics Forum
T‐SAH: Animation Optimized Bounding Volume Hierarchies
Computer Graphics and Computer-Aided Design
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spelling Bittner, J. Meister, D. 0167-7055 1467-8659 Wiley Computer Graphics and Computer-Aided Design http://dx.doi.org/10.1111/cgf.12581 <jats:title>Abstract</jats:title><jats:p>We propose a method for creating a bounding volume hierarchy (BVH) that is optimized for all frames of a given animated scene. The method is based on a novel extension of surface area heuristic to temporal domain (T‐SAH). We perform iterative BVH optimization using T‐SAH and create a single BVH accounting for scene geometry distribution at different frames of the animation. Having a single optimized BVH for the whole animation makes our method extremely easy to integrate to any application using BVHs, limiting the per‐frame overhead only to refitting the bounding volumes. We evaluated the T‐SAH optimized BVHs in the scope of real‐time GPU ray tracing. We demonstrate, that our method can handle even highly complex inputs with large deformations and significant topology changes. The results show, that in a vast majority of tested scenes our method provides significantly better run‐time performance than traditional SAH and also better performance than GPU based per‐frame BVH rebuild.</jats:p> T‐SAH: Animation Optimized Bounding Volume Hierarchies Computer Graphics Forum
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title T‐SAH: Animation Optimized Bounding Volume Hierarchies
title_unstemmed T‐SAH: Animation Optimized Bounding Volume Hierarchies
title_full T‐SAH: Animation Optimized Bounding Volume Hierarchies
title_fullStr T‐SAH: Animation Optimized Bounding Volume Hierarchies
title_full_unstemmed T‐SAH: Animation Optimized Bounding Volume Hierarchies
title_short T‐SAH: Animation Optimized Bounding Volume Hierarchies
title_sort t‐sah: animation optimized bounding volume hierarchies
topic Computer Graphics and Computer-Aided Design
url http://dx.doi.org/10.1111/cgf.12581
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description <jats:title>Abstract</jats:title><jats:p>We propose a method for creating a bounding volume hierarchy (BVH) that is optimized for all frames of a given animated scene. The method is based on a novel extension of surface area heuristic to temporal domain (T‐SAH). We perform iterative BVH optimization using T‐SAH and create a single BVH accounting for scene geometry distribution at different frames of the animation. Having a single optimized BVH for the whole animation makes our method extremely easy to integrate to any application using BVHs, limiting the per‐frame overhead only to refitting the bounding volumes. We evaluated the T‐SAH optimized BVHs in the scope of real‐time GPU ray tracing. We demonstrate, that our method can handle even highly complex inputs with large deformations and significant topology changes. The results show, that in a vast majority of tested scenes our method provides significantly better run‐time performance than traditional SAH and also better performance than GPU based per‐frame BVH rebuild.</jats:p>
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description <jats:title>Abstract</jats:title><jats:p>We propose a method for creating a bounding volume hierarchy (BVH) that is optimized for all frames of a given animated scene. The method is based on a novel extension of surface area heuristic to temporal domain (T‐SAH). We perform iterative BVH optimization using T‐SAH and create a single BVH accounting for scene geometry distribution at different frames of the animation. Having a single optimized BVH for the whole animation makes our method extremely easy to integrate to any application using BVHs, limiting the per‐frame overhead only to refitting the bounding volumes. We evaluated the T‐SAH optimized BVHs in the scope of real‐time GPU ray tracing. We demonstrate, that our method can handle even highly complex inputs with large deformations and significant topology changes. The results show, that in a vast majority of tested scenes our method provides significantly better run‐time performance than traditional SAH and also better performance than GPU based per‐frame BVH rebuild.</jats:p>
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spelling Bittner, J. Meister, D. 0167-7055 1467-8659 Wiley Computer Graphics and Computer-Aided Design http://dx.doi.org/10.1111/cgf.12581 <jats:title>Abstract</jats:title><jats:p>We propose a method for creating a bounding volume hierarchy (BVH) that is optimized for all frames of a given animated scene. The method is based on a novel extension of surface area heuristic to temporal domain (T‐SAH). We perform iterative BVH optimization using T‐SAH and create a single BVH accounting for scene geometry distribution at different frames of the animation. Having a single optimized BVH for the whole animation makes our method extremely easy to integrate to any application using BVHs, limiting the per‐frame overhead only to refitting the bounding volumes. We evaluated the T‐SAH optimized BVHs in the scope of real‐time GPU ray tracing. We demonstrate, that our method can handle even highly complex inputs with large deformations and significant topology changes. The results show, that in a vast majority of tested scenes our method provides significantly better run‐time performance than traditional SAH and also better performance than GPU based per‐frame BVH rebuild.</jats:p> T‐SAH: Animation Optimized Bounding Volume Hierarchies Computer Graphics Forum
spellingShingle Bittner, J., Meister, D., Computer Graphics Forum, T‐SAH: Animation Optimized Bounding Volume Hierarchies, Computer Graphics and Computer-Aided Design
title T‐SAH: Animation Optimized Bounding Volume Hierarchies
title_full T‐SAH: Animation Optimized Bounding Volume Hierarchies
title_fullStr T‐SAH: Animation Optimized Bounding Volume Hierarchies
title_full_unstemmed T‐SAH: Animation Optimized Bounding Volume Hierarchies
title_short T‐SAH: Animation Optimized Bounding Volume Hierarchies
title_sort t‐sah: animation optimized bounding volume hierarchies
title_unstemmed T‐SAH: Animation Optimized Bounding Volume Hierarchies
topic Computer Graphics and Computer-Aided Design
url http://dx.doi.org/10.1111/cgf.12581