Paint Match Simulation Using 3D Geometry and Color Data

The patent replaces manual visual color matching with an automated computer-based system that uses digital images and algorithms to objectively compare colors. The system captures images of the vehicle coating and reference standards, then uses image processing to extract color values and calculate matches, eliminating human operator variance and lighting condition dependencies.

The patent creates digital copies of the vehicle coating and reference color standards through image capture. These digital representations allow for repeated analysis without physical contact or degradation of the original samples, and enable color comparison under standardized virtual lighting conditions regardless of actual environmental lighting.

The patent merges two previously separate approaches: vehicle identification-based formula retrieval and measured color-based formula selection. The system accepts either vehicle identification information (make, model, year, paint code) or measured color values as input, and can process both types of queries through a unified database and algorithm framework, allowing users to choose the most convenient input method.

The patent creates a multi-functional system that can operate in multiple modes: retrieving formulas by vehicle identification, selecting formulas by measured color values, and comparing multiple candidate formulas. This universal system handles different input types and matching scenarios through a single integrated platform, increasing ease of operation while maintaining precision.

The patent applies partial action by retrieving only a limited subset of candidate formulas that are most likely to match the target coating, rather than presenting all available formulas. The system uses preliminary filtering based on vehicle identification and color space proximity to select a manageable number of candidates for comparison, reducing the complexity of the selection process while maintaining versatility.

The patent implements feedback through an iterative comparison process where the system presents candidate formulas, receives user feedback on the match quality, and can retrieve additional or alternative formulas. The system also provides feedback by calculating and displaying color difference values, helping users understand the quality of each match and guide their selection.

The patent performs preliminary action by pre-calculating and ranking multiple candidate formulas based on their expected match quality before the user begins the selection process. The system uses algorithms to predict which formulas are most likely to match the target coating, presenting them in order of probability. This preliminary sorting reduces the need for extensive manual trial and error, as users can start with the most promising candidates.

The patent enables self-service by allowing the system to automatically perform color comparisons and formula adjustments based on user selections. The system can autonomously calculate color differences, suggest optimal formulas, and even automatically adjust formula parameters to improve matches, reducing the need for manual intervention and repeated testing while maintaining high match quality.