Grid-Based Light Clustering for Efficient Complex-Scene Shadow Rendering
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Solution Overview
Problem
Existing shadow rendering methods based on shadow maps face high calculation complexity when dealing with complex scenes containing a large number of light resources, leading to low efficiency.
Innovation Solution
A two-dimensional grid is set in a virtual space to cluster light resources into clusters, determining a target light cluster for each pixel point, and rendering shadows based on these clusters to improve efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a shadow map is used to render shadows, then shadow rendering quality is improved, but calculation complexity increases significantly when scenes contain a large number of light resources
Solution Approach 1:
The patent divides the scene into multiple regions using a grid system, and groups light resources into clusters based on their spatial distribution. Each region processes only the light clusters relevant to it, segmenting the overall calculation into smaller, manageable tasks. This reduces the calculation complexity from processing all light resources globally to processing only local clusters, while maintaining shadow rendering quality through accurate regional processing.
2Measurement precision
If all light resources are processed individually in complex scenes, then shadow rendering accuracy is maintained, but rendering efficiency decreases
Solution Approach 1:
The patent merges multiple light resources into light clusters based on their spatial proximity and illumination coverage. Instead of processing each light resource separately, the system processes clusters of light resources as unified units. This merging reduces the number of individual processing operations while maintaining accuracy by preserving the combined illumination effects of all lights in each cluster, thereby significantly improving rendering efficiency.
3Reliability
If the number of light resources increases in a scene, then illumination realism is improved, but rendering performance deteriorates
Solution Approach 1:
The patent applies local quality by processing light clusters differently based on their spatial location and relevance to the camera view. Regions with fewer light clusters are processed with higher detail, while regions with more clusters are processed with optimized approximation. This localized approach maintains illumination realism in critical areas while improving overall rendering performance by reducing computational burden in less critical regions.
Data Source
AI summary
In a shadow rendering method, a two-dimensional grid is set on a preset plane in a virtual space in which a virtual scene is located. A plurality of light resources in the virtual scene are clustered using cells in the two-dimensional grid to obtain a plurality of light clusters. Each light cluster corresponds to a respective cell in the two-dimensional grid. A projection area of an illuminated space irradiated by at least one of the plurality of light resources in each of the plurality of light clusters on the preset plane intersects with the corresponding cell of the respective light cluster. For each pixel point in a screen space, a target light cluster from the plurality of light clusters is determined. A shadow of the virtual scene is rendered based on the target light cluster of each pixel point to obtain a shadow rendering result.