Light Pruning via Geometric Culling for Rendering Efficiency

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Solution Overview

Problem

The process of rendering computer graphics images and animations is time-consuming due to the need to analyze each light source in a scene, especially when there are hundreds or thousands of lights, as existing methods do not efficiently prune unnecessary light sources, leading to increased rendering time and data intensity.

Innovation Solution

The method involves generating a geometric representation for each light source, determining if it intersects with object models or the camera's view frustum, and deactivating those that do not intersect, using techniques like convex hulls and geometry-based culling to automatically prune lights before rendering.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If each light source is analyzed individually to determine its contribution to the scene, then accurate illumination effects are maintained, but rendering time increases significantly

Engineering Contradiction:
Improveillumination accuracyVSAvoidrendering time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent applies preliminary action by performing light source culling before the actual rendering process. A pre-pass is executed to determine which light sources will affect the current frame based on geometric representations and view frustum calculations. This preliminary determination allows the system to filter out unnecessary light sources before rendering, reducing the computational burden while maintaining accurate illumination effects for relevant lights.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent extracts unnecessary light sources from the scene by removing them from the list of active lights before rendering. Through geometric culling and view frustum analysis, the system identifies and extracts light sources that do not intersect with the view frustum or do not affect objects in the current frame, thereby reducing the number of lights that need to be processed during rendering while preserving illumination accuracy for remaining lights.

Inventive Principle:
Principle #2Taking out (Extraction)

2Loss of information

If all light sources in the scene are processed, then complete illumination data is obtained, but data intensity and processing requirements increase

Engineering Contradiction:
Improveillumination data completenessVSAvoidprocessing complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent extracts and removes unnecessary light source data from processing by using geometric culling techniques. Light sources that do not intersect with the view frustum or do not affect objects in the current frame are identified and removed from the active light list, reducing the volume of data that needs to be processed while maintaining complete illumination information for relevant lights.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system performs a preliminary analysis before rendering to determine which light sources are relevant to the current frame. This pre-pass uses geometric representations and view frustum calculations to filter out unnecessary light data, reducing processing complexity while ensuring that complete illumination information is retained for lights that will actually be rendered.

Inventive Principle:
Principle #10Preliminary action

3Loss of time

If light sources are manually selected and deactivated, then rendering time is reduced, but operation time and manual intervention increase

Engineering Contradiction:
Improverendering timeVSAvoidmanual operation requirement
Core Design Contradiction:
Loss of timeVSEase of operation

Solution Approach 1:

The patent implements self-service by enabling the rendering system to automatically perform light source culling without manual intervention. The system uses automated geometric culling algorithms, view frustum calculations, and pre-pass analysis to independently determine which light sources should be active, eliminating the need for manual light selection and deactivation while reducing rendering time.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system changes operational parameters by automatically adjusting the active light list based on geometric relationships and view frustum data. Instead of manual light selection, the system uses automated parameter changes such as geometric intersection tests and culling algorithms to dynamically determine which lights to process, reducing both manual operation requirements and rendering time.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS7750906B2Systems and methods for light pruning
Publication Date: 2010.07.06 PIXAR CORP
  • US7750906B2 patent drawing
  • US7750906B2 patent drawing
  • US7750906B2 patent drawing

AI summary

The effective illumination volume (e.g., angular spread and falloff) of each light source in an object model scene can be represented by a simple geometry. Geometry-based culling techniques then can be used to automatically remove or de-activate lights for a frame, set of frames, or entire shot of animation, based on interactions of the light geometries with objects in the scene. The light pruning process can be run in a pre-pass procedure, such that production and rendering preparation procedures do not have to deal with lights that will not affect a final image. Further, a pre-pass pruning removes lights before rendering, such that the data for each light does not have to be loaded into memory at render time. Removing the lights before rendering also can reduce a amount of ray tracing and other processing used for the lights at render time.