Normal Map Authenticity Detection via Integration Differentiation

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Solution Overview

Problem

The use of normal maps in computer graphics is challenging due to their unintuitive nature and lack of industry-wide standards, leading to incorrect usage and bugs in material systems during content creation.

Innovation Solution

A method and system for automatic detection and correction of normal maps, which involves integrating and differentiating candidate normal maps to determine their authenticity and correcting rotations by analyzing reconstruction errors.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual identification and correction of normal maps is performed, then accuracy can be maintained, but time consumption and human error increase

Engineering Contradiction:

Improvenormal map identification accuracyVSAvoidtime consumption

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system enables automatic self-identification and self-correction of normal maps through computational algorithms. The normal map detector automatically analyzes candidate images, determines authenticity, detects rotations, and generates corrected normal maps without requiring manual human intervention, thereby eliminating human error and time consumption while maintaining accuracy

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical processes of normal map identification and correction with automated computational algorithms. The system uses mathematical operations (integration and differentiation) and image processing techniques to automatically detect and correct normal maps, substituting human expertise with automated mechanical processing

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If automatic detection algorithms are implemented, then productivity increases, but system complexity increases

Engineering Contradiction:

Improvecontent creation efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system divides the complex task of normal map detection and correction into separate modular stages: candidate image acquisition, authenticity determination through integration-differentiation analysis, rotation detection, and correction generation. This segmentation allows each component to be optimized independently while working together to achieve high productivity

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The normal map detector is designed as a multi-functional system that performs multiple tasks within a single integrated pipeline: detecting authenticity, determining normal map format, detecting rotations, and generating corrections. This universality consolidates multiple separate processes into one efficient system, improving productivity without proportionally increasing complexity

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250099858A1Method and system for automatic normal map detection and correction

Publication Date: 2025.03.27 UNITY TECH APS

AI summary

A method of determining an authenticity of a normal map is disclosed. An input candidate normal map is received. A reconstructed candidate normal map is generated based on a performance of a mathematical differentiation on an integration of the input candidate normal map. A reconstruction error is determined based on a comparison of the input candidate normal map to the reconstructed candidate normal map. An authenticity of the input candidate normal map is determined based on the reconstruction error being within a configurable threshold.