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How is the Photon Map stored? How are k-nearest-neighbor queries performed?
kD-Tree
Store photons in a balanced kD-Tree (i.e., a binary tree) with entries . The two child nodes of an inner node are and .
A balanced kD-Tree is constructed by successive median splits.
kD-Tree k-NN Search
Input:
: query point
: root node of subtree to be searched
Global variables:
: priority queue containing k-best search results
: distance from to furthest result in , or if less than results
knn(, ):
if( is a leaf)
insert into
update
else
if is left of split plane
knn(, )
if distance to split plane
knn(, )
else
knn(, )
if distance to split plane
knn(, )
More efficient: Compare squared distances
Store photons in a balanced kD-Tree (i.e., a binary tree) with entries . The two child nodes of an inner node are and .
A balanced kD-Tree is constructed by successive median splits.
kD-Tree k-NN Search
Input:
: query point
: root node of subtree to be searched
Global variables:
: priority queue containing k-best search results
: distance from to furthest result in , or if less than results
knn(, ):
if( is a leaf)
insert into
update
else
if is left of split plane
knn(, )
if distance to split plane
knn(, )
else
knn(, )
if distance to split plane
knn(, )
More efficient: Compare squared distances
Karteninfo:
Autor: janisborn
Oberthema: Informatik
Thema: Computergrafik
Schule / Uni: RWTH Aachen
Ort: Aachen
Veröffentlicht: 18.05.2022