Coating Spatial Appearance Mapping via 3D Coordinate System
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Solution Overview
Problem
Existing methods for identifying and matching coatings lack efficiency and accuracy due to the lack of uniformity in spatial appearance data processing, leading to confusion and technical burdens when trying to utilize this data for further processing.
Innovation Solution
A computerized method that maps coatings to a spatial appearance space by receiving coating spatial appearance variables from a target coating, generating spatial appearance space coordinates, accessing a database of reference coatings, identifying matching coordinates, calculating spatial-appearance-space distances, and displaying proposed matches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional coating identification methods are used, then the process is simpler, but the accuracy and efficiency of coating matching is poor
Solution Approach 1:
The patent transforms coating appearance assessment from traditional 2D color space (L*a*b*) to a 3D spatial appearance space that incorporates graininess, sparkle area, and sparkle intensity as additional dimensions. This dimensional expansion enables more precise coating matching by capturing spatial texture characteristics that were previously ignored, directly resolving the contradiction between matching accuracy and system complexity.
Solution Approach 2:
The patent introduces new measurement parameters (graininess variable, sparkle area variable, sparkle intensity variable) to complement traditional color measurements. By changing the parameter set from only colorimetric values to include spatial appearance variables, the system achieves superior coating identification accuracy while maintaining manageable complexity through standardized measurement protocols.
2Reliability
If spatial appearance variables are measured and processed, then coating identification accuracy improves, but the complexity of data processing increases
Solution Approach 1:
The patent creates a universal spatial appearance space that can handle multiple coating types and measurement conditions through a unified coordinate system. The system processes graininess, sparkle area, and sparkle intensity variables simultaneously within the same 3D framework, enabling reliable coating identification across diverse applications without requiring separate processing pipelines for different data types.
Solution Approach 2:
The patent introduces a coordinate transformation intermediary that converts complex spatial appearance measurements into standardized 3D space coordinates. This intermediary layer simplifies data processing by providing a consistent reference frame for comparing different coating samples, reducing the computational complexity while maintaining high identification reliability.
3Loss of information
If multiple spatial appearance variables are used, then the distinction between different coatings is improved, but the difficulty of data analysis increases
Solution Approach 1:
The patent organizes multiple spatial appearance variables (graininess, sparkle area, sparkle intensity) into a structured 3D coordinate system where each variable corresponds to a specific axis. This dimensional organization preserves complete appearance information while simplifying data analysis through systematic coordinate comparison and distance calculation in the 3D space.
Solution Approach 2:
The patent transforms multiple appearance parameters into a unified spatial appearance space with standardized coordinate representation. By changing the data structure from separate variable sets to coordinated 3D points, the system maintains comprehensive appearance information while reducing analysis difficulty through consistent mathematical operations for comparison and matching.
Data Source
AI summary
A computer system for mapping coatings to a spatial appearance space may receive coating spatial appearance variables of a target coating from a coating-measurement instrument. The computer system may generate spatial appearance space coordinates for the target coating by mapping each of the coating spatial appearance variables to an individual axis of a multidimensional coordinate system. The computer system may identify particular spatial appearance space coordinates from the identified spatial appearance space coordinates associated with the potentially matching reference coatings that are associated with a smallest spatial-appearance-space distance from the spatial appearance space coordinates of the target coating. Further, the computer system may display a visual interface element indicating a particular reference coating that is associated with the particular spatial appearance space coordinates as a proposed spatial appearance match to the target coating.