Statistical Texture Synthesis for Realistic Material Appearance Interpolation

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Solution Overview

Problem

Existing methods struggle to realistically predict and visualize the texture of materials, particularly metallic and pearlescent effect paints, for arbitrary illumination and viewing directions, given limited measurements.

Innovation Solution

A computer-implemented method for generating a destination texture through statistical texture synthesis, which involves assigning interpolation weights to each texture, and synthesizing a destination texture using source textures and their assigned interpolation weights, while ensuring seamless integration and statistical texture synthesis, and statistical texture synthesis, to mimic the properties of metallic effect paints.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If measurement devices use a limited set of illumination and viewing angles, then device complexity is reduced, but texture prediction accuracy for arbitrary directions deteriorates

Engineering Contradiction:

Improvemeasurement device complexityVSAvoidtexture prediction accuracy

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The patent creates virtual copies of measured textures through statistical texture synthesis. Instead of physically measuring textures from all possible angles, the system synthesizes new texture images that statistically match the characteristics of measured textures at different illumination and viewing directions. This virtual copying approach allows prediction of appearance at arbitrary directions while using a limited measurement setup.

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent changes the parameters of existing textures through statistical transformation. By adjusting statistical properties (such as spatial frequency distributions, correlation structures, and intensity statistics) of measured textures, the system generates synthesized textures that represent the material appearance under different illumination and viewing conditions without requiring physical remeasurement.

Inventive Principle:

Principle #35Parameter changes

2Measurement precision

If texture is measured at multiple illumination and viewing directions, then texture prediction accuracy improves, but measurement time increases

Engineering Contradiction:

Improvetexture prediction accuracyVSAvoidmeasurement time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent applies partial action by measuring textures at a limited subset of illumination and viewing directions rather than exhaustively covering all possible directions. The statistical texture synthesis method then extrapolates from these partial measurements to predict texture characteristics at unmeasured directions, achieving sufficient accuracy without the time cost of complete angular sampling.

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The patent performs preliminary statistical analysis of measured textures to extract key statistical properties and patterns. This preliminary characterization allows the system to quickly synthesize textures for arbitrary directions without requiring time-consuming measurements at each specific direction, as the statistical model has already captured the essential texture behavior.

Inventive Principle:

Principle #10Preliminary action

3Productivity

If simple interpolation methods are used between measured textures, then computational speed increases, but realism of predicted textures deteriorates

Engineering Contradiction:

Improvecomputational speedVSAvoidrealism of predicted textures

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent replaces simple mechanical interpolation methods with a statistical synthesis approach. Instead of directly blending pixel values between measured textures through linear interpolation, the system uses statistical models to generate new textures that preserve the material's inherent statistical properties. This substitution maintains computational efficiency while dramatically improving the realism of predicted textures.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent transforms the interpolation problem from pixel-level operations to statistical parameter-level operations. By working with statistical descriptors (such as spatial correlation functions, power spectral densities, and histogram statistics) rather than individual pixel values, the system achieves both computational efficiency and realistic texture synthesis through parameter transformation and sampling.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentEP4179503B1Generating a destination texture from a plurality of source textures

Publication Date: 2025.12.10 X RITE EUROPE GMBH

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AI summary

A computer-implemented method for generating a destination texture (201) from at least two source textures (211, 221, 231) comprises carrying out a statistical texture synthesis operation. An interpolation weight is assigned to each of the source textures (, and the destination texture is synthesized using the source textures and the assigned interpolation weights. Synthesizing the destination texture comprises randomly choosing one of the source textures, randomly extracting a texture patch (212) from the chosen source texture (211), modifying the extracted texture patch in such a manner that at least one statistical property (215) of the modified texture patch (214) approximates a corresponding averaged statistical property (202), and inserting the modified texture patch into the destination texture so that the modified texture patch seamlessly fits to existing texture content (203) in the destination texture.