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An example of a bounding volume hierarchy using rectangles as bounding volumes. A bounding volume hierarchy (BVH) is a tree structure on a set of geometric objects. All geometric objects, which form the leaf nodes of the tree, are wrapped in bounding volumes. These nodes are then grouped as small sets and enclosed within larger bounding volumes.
English: Example of bounding volume hierarchy (BVH) in two dimensions, where bounding volumes are AABB. Date: 30 December 2011: Source: Own work: Author: Schreiberx ...
To obtain bounding volumes of complex objects, a common way is to break the objects/scene down using a scene graph or more specifically a bounding volume hierarchy, like e.g. OBB trees. The basic idea behind this is to organize a scene in a tree-like structure where the root comprises the whole scene and each leaf contains a smaller subpart.
A BVH is a tree of bounding volumes (often spheres, axis-aligned bounding boxes or oriented bounding boxes). At the bottom of the hierarchy, the size of the volume is just large enough to encompass a single object tightly (or possibly even some smaller fraction of an object in high resolution BVHs).
Graph (example Tree, Heap) Some properties of abstract data types: ... Bounding volume hierarchy; BSP tree; Rapidly exploring random tree; Application-specific trees
Bounding Volume Hierarchy (BVH) a tree structure over a set of bounding volumes. Collision is determined by doing a tree traversal starting from the root. If the bounding volume of the root doesn't intersect with the object of interest, the traversal can be stopped.
Bounding volume hierarchy, also referred to as bounding volume tree (BV-tree, BVT) Boyer–Moore string-search algorithm; Boyer–Moore–Horspool algorithm; bozo sort; B+ tree; BPP (complexity) Bradford's law; branch (as in control flow) branch (as in revision control) branch and bound; breadth-first search; Bresenham's line algorithm; brick ...
Bounding volume hierarchy (BVH) Geohash; Grid (spatial index) HHCode; Hilbert R-tree; k-d tree; m-tree – an m-tree index can be used for the efficient resolution of similarity queries on complex objects as compared using an arbitrary metric. Octree; PH-tree; Quadtree; R-tree: Typically the preferred method for indexing spatial data. [6]