Apparatus and method for efficiently merging bounding volume hierarchy data

US11989818B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11989818-B2
Application numberUS-202117533531-A
CountryUS
Kind codeB2
Filing dateNov 23, 2021
Priority dateApr 14, 2017
Publication dateMay 21, 2024
Grant dateMay 21, 2024

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  5. First independent claim

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Abstract

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An apparatus and method for efficiently reconstructing a BVH. For example, one embodiment of a method comprises: constructing an object bounding volume hierarchy (BVH) for each object in a scene, each object BVH including a root node and one or more child nodes based on primitives included in each object; constructing a top-level BVH using the root nodes of the individual object BVHs; performing an analysis of the top-level BVH to determine whether the top-level BVH comprises a sufficiently efficient arrangement of nodes within its hierarchy; and reconstructing at least a portion of the top-level BVH if a more efficient arrangement of nodes exists, wherein reconstructing comprises rebuilding the portion of the top-level BVH until one or more stopping criteria have been met, the stopping criteria defined to prevent an entire rebuilding of the top-level BVH.

First claim

Opening claim text (preview).

What is claimed is: 1. A graphics processing apparatus comprising: a hierarchical tree structure construction circuitry to: construct a top-level tree structure using root nodes of individual object tree structures, wherein an individual object tree structure of the individual object tree structures includes a root node and one or more child nodes and is built based on primitives included in a corresponding object, and reconstruct build primitives within at least a portion of the top-level tree structure, wherein reconstructing the build primitives comprises: iteratively selecting a plurality of build primitives from the portion of the top-level tree structure to split into a plurality of two subsets of build primitives for reconstruction, wherein in a first iteration of the iterative selection for reconstruction, a first pair of two subsets of build primitives is not reconstructed responsive to the first pair of two subsets of build primitives belonging to a same object. 2. The graphics processing apparatus of claim 1 , further comprising: an intersection circuitry to intersect rays with the portion of the top-level tree structure upon reconstruction of the build primitives. 3. The graphics processing apparatus of claim 1 , wherein the portion of the top-level tree structure is selected from an upper hierarchy of the top-level tree structure. 4. The graphics processing apparatus of claim 1 , wherein reconstruction of the build primitives completes once a single primitive is left in the portion of the top-level tree structure upon the iterative selection. 5. The graphics processing apparatus of claim 1 , wherein the iterative selection further comprises constructing a second pair of two subsets of build primitives in a second iteration of the iterative selection for reconstruction, wherein in the second iteration a parent node within the individual object tree structure is replaced by child nodes of the parent node to create a new set of build primitives. 6. The graphics processing apparatus of claim 5 , wherein the new set of build primitives is split into two subsets, wherein a split position is selected based on a surface area heuristic cost calculation. 7. The graphics processing apparatus of claim 5 , wherein a weight of the parent node is distributed among its child nodes when the parent node is replaced by its child nodes. 8. The graphics processing apparatus of claim 7 , wherein the weight of the parent node is based on how many primitives are included in the parent node. 9. A method comprising: constructing a top-level tree structure using root nodes of individual object tree structures, wherein an individual object tree structure of the individual object tree structures includes a root node and one or more child nodes and is built based on primitives included in a corresponding object; and reconstructing build primitives within at least a portion of the top-level tree structure, wherein reconstructing the build primitives comprises: iteratively selecting a plurality of build primitives from the portion of the top-level tree structure to split into a plurality of two subsets of build primitives for reconstruction, wherein in a first iteration of the iterative selection for reconstruction, a first pair of two subsets of build primitives is not reconstructed responsive to the first pair of two subsets of build primitives belonging to a same object, wherein the iterative selection comprises not reconstructing a first pair of two subsets of build primitives responsive to the first pair of two subsets of build primitives belonging to a same object in a first iteration. 10. The method of claim 9 , further comprising: intersecting rays with the portion of the top-level tree structure upon reconstruction of the build primitives. 11. The method of claim 9 , wherein the portion of the top-level tree structure is selected from an upper hierarchy of the top-level tree structure. 12. The method of claim 9 , wherein reconstruction of the build primitives completes once a single primitive is left in the portion of the top-level tree structure upon the iterative selection. 13. The method of claim 9 , wherein the iterative selection further comprises constructing a second pair of two subsets of build primitives in a second iteration of the iterative selection for reconstruction, wherein in the second iteration a parent node within the individual object tree structure is replaced by child nodes of the parent node to create a new set of build primitives. 14. A non-transitory machine-readable medium having program code stored thereon which, when executed by a machine, are capable of causing the machine to perform: constructing a top-level tree structure using root nodes of individual object tree structures, wherein an individual object tree structure of the individual object tree structures includes a root node and one or more child nodes and is built based on primitives included in a corresponding object; and reconstructing build primitives within at least a portion of the top-level tree structure, wherein reconstructing the build primitives comprises: iteratively selecting a plurality of build primitives from the portion of the top-level tree structure to split into a plurality of two subsets of build primitives for reconstruction, wherein in a first iteration of the iterative selection for reconstruction, a first pair of two subsets of build primitives is not reconstructed responsive to the first pair of two subsets of build primitives belonging to a same object, wherein the iterative selection comprises not reconstructing a first pair of two subsets of build primitives responsive to the first pair of two subsets of build primitives belonging to a same object in a first iteration. 15. The non-transitory machine-readable medium of claim 14 , wherein the portion of the top-level tree structure is selected from an upper hierarchy of the top-level tree structure. 16. The non-transitory machine-readable medium of claim 14 , wherein reconstruction of the build primitives completes once a single primitive is left in the portion of the top-level tree structure upon the iterative selection. 17. The non-transitory machine-readable medium of claim 14 , wherein the iterative selection further comprises constructing a second pair of two subsets of build primitives in a second iteration of the iterative selection for reconstruction, wherein in the second iteration a parent node within the individual object tree structure is replaced by child nodes of the parent node to create a new set of build primitives. 18. The non-transitory machine-readable medium of claim 17 , wherein the new set of build primitives is split into two subsets, wherein a split position is selected based on a surface area heuristic cost calculation. 19. The non-transitory machine-readable medium of claim 17 , wherein a weight of the parent node is distributed among its child nodes when the parent node is replaced by its child nodes. 20. The non-transitory machine-readable medium of claim 19 , wherein the weight of the parent node is based on how many primitives are included in the parent node.

Assignees

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Classifications

  • G06T15/06Primary

    Ray-tracing · CPC title

  • Three-dimensional [3D] modelling for computer graphics · CPC title

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What does patent US11989818B2 cover?
An apparatus and method for efficiently reconstructing a BVH. For example, one embodiment of a method comprises: constructing an object bounding volume hierarchy (BVH) for each object in a scene, each object BVH including a root node and one or more child nodes based on primitives included in each object; constructing a top-level BVH using the root nodes of the individual object BVHs; performin…
Who is the assignee on this patent?
Intel Corp
What technology area does this patent fall under?
Primary CPC classification G06T15/06. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue May 21 2024 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).