Image Rendering Filtering Using Prior Frame Elimination Data
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Solution Overview
Problem
Current image rendering technologies face inefficiencies due to the need for complete input data and frequent culling operations, even when there are slight changes between adjacent frames, leading to low rendering efficiency and suboptimal resource utilization.
Innovation Solution
An image rendering method that filters input models using parameters established based on data already eliminated in a rendered image frame, reducing the input of invalid data and improving rendering efficiency by leveraging prior information for subsequent frames.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complete input data is processed through culling operations for each frame, then rendering accuracy is maintained, but rendering efficiency deteriorates
Solution Approach 1:
The patent applies preliminary action by establishing filtering parameters in advance based on data from previously eliminated input models. These pre-established parameters are then reused for subsequent frames, eliminating the need to perform complete culling operations on all input data for each frame. This maintains rendering accuracy while significantly improving rendering efficiency by avoiding redundant processing.
2Reliability
If culling operations are performed on all input data for each frame, then valid data is accurately identified, but computational resource usage increases
Solution Approach 1:
The patent extracts and reuses the filtering parameters that have already been established from previous frame processing. Instead of re-processing all input data through complete culling operations, the system extracts only the necessary filtering information from prior results and applies it to subsequent frames. This maintains data validation accuracy while reducing computational resource usage by avoiding redundant processing of already-analyzed data.
3Measurement precision
If filtering parameters are re-established for each frame, then filtering accuracy is maintained, but processing time increases
Solution Approach 1:
The patent applies preliminary action by establishing filtering parameters in advance based on data from previously eliminated input models. These pre-established parameters are then reused for subsequent frames, eliminating the need to perform complete culling operations on all input data for each frame. This maintains rendering accuracy while significantly improving rendering efficiency by avoiding redundant processing.
Data Source
AI summary
An image rendering method includes receiving one or more input models; filtering the one or more input models to obtain one or more filtered input models, a plurality of filtering parameters used in the filtering being established based on data that have an input model already been eliminated in a rendered image frame; and rendering a current image frame based on the one or more filtered input models.


