Virtual Scene Rendering via Target Light Source Sampling
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Solution Overview
Problem
Conventional lighting rendering technologies in virtual scenes with multiple light sources suffer from poor image quality due to random and uniform light source sampling, which only effectively samples one light source at a time, leading to inadequate rendering of complex lighting scenarios.
Innovation Solution
A virtual scene rendering method that determines a target light source type among candidate types for a target point, performs light source sampling to obtain a matching target light source, and renders the point based on this target light source, thereby ensuring that multiple light sources are sampled and rendered effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If random and uniform light source sampling is used in virtual scenes with multiple light sources, then the sampling process is simple, but the image rendering quality deteriorates due to inadequate sampling of multiple light sources
Solution Approach 1:
The patent segments the light source sampling process by classifying light sources into different types (directional light, point light, spot light, area light) and applying specific sampling strategies to each type. This segmentation allows the system to handle multiple light source types effectively while maintaining rendering quality, as each light source type is sampled according to its specific characteristics rather than using a generic uniform sampling approach.
2Device complexity
If only one light source is sampled in scenes with multiple light sources, then the sampling complexity is reduced, but the rendering accuracy deteriorates due to singularity in light source representation
Solution Approach 1:
The patent implements dynamic light source sampling where the sampling strategy adapts based on the specific scene configuration and light source types present. The system dynamically selects which light sources to sample and how to sample them, rather than using a static fixed approach. This dynamic adaptation allows the system to handle varying numbers and types of light sources efficiently while maintaining high sampling accuracy.
Solution Approach 2:
The patent changes sampling parameters based on light source type and scene characteristics. Different sampling densities, sampling patterns, and sampling priorities are applied depending on the specific light source configuration. This parameter adaptation allows the system to optimize sampling accuracy for each light source while managing overall computational complexity.
3Manufacturing precision
If multiple light sources are sampled effectively, then the image rendering quality improves, but the sampling process becomes more complex and time-consuming
Solution Approach 1:
The patent applies partial sampling strategies where not all light sources are sampled with equal detail. Instead, the system identifies and prioritizes sampling of light sources that have the greatest impact on rendering quality, while using simplified sampling for less significant light sources. This selective approach maintains high rendering quality for critical areas while reducing overall sampling time and computational load.
Data Source
AI summary
This application relates to a virtual scene rendering method performed by a computer device. The method includes: determining a target light source type among a plurality of candidate light source types for a target point in a virtual scene; performing light source sampling on the target point to obtain a target light source that matches the target light source type; and rendering the target point based on the target light source.