Invention Grant
- Patent Title: Importance sampling of sparse voxel octrees
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Application No.: US14210138Application Date: 2014-03-13
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Publication No.: US10347042B2Publication Date: 2019-07-09
- Inventor: Florian Hecht
- Applicant: PIXAR
- Applicant Address: US CA Emeryville
- Assignee: Pixar
- Current Assignee: Pixar
- Current Assignee Address: US CA Emeryville
- Agency: Patterson + Sheridan, LLP
- Main IPC: G06T17/00
- IPC: G06T17/00 ; G06T15/08

Abstract:
Techniques are disclosed for generating quality renderings of volumes by sampling a volume light by generating and analyzing a sparse voxel octree. In one embodiment, a volumetric light source may be divided into voxels and importance information stored in an octree. An importance value may be determined for each voxel based on the amount of emitted light in the region associated with that voxel. Importance values regarding the individual voxels may be stored in the leaves of the octree. Each interior node may be associated with an importance value equal to the sum of the importance values of its children. The root node may be associated with the total importance of the entire octree.
Public/Granted literature
- US20150262416A1 IMPORTANCE SAMPLING OF SPARSE VOXEL OCTREES Public/Granted day:2015-09-17
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06T | 一般的图像数据处理或产生 |
G06T17/00 | 用于计算机制图的3D建模 |