Color and texture match ratings for optimal match selection

A computerized method for execution on a computer system, comprising one or more processors, system memory, and one or more computer-readable media storing computer-executable instructions, the method for matching a paint sample to various proposed paint coatings, comprising the acts of:

• receiving one or more coating variables of a target coating from a coating-measurement instrument;
• displaying effect texture ratings for each of multiple proposed coating matches on a digital display device, wherein:
• the effect texture ratings indicate differences in effect textures between a target coating effect texture and effect textures associated with each of the multiple proposed coating matches, and
• each effect texture ratings is derived from a statistical mapping of the coating texture variables to human-perceived rankings of relative effect texture differences between a set of coatings that does not include the target coating;
• and
• ordering at least a portion of the proposed coating matches, wherein an ordering indicates a strength in similarity between the target coating and each of the at least a portion of the multiple proposed coating matches with respect to the coating texture ratings.

A computer program product comprising one or more computer storage media having stored thereon computer-executable instructions that, when executed at a processor, cause a computer system to perform a method for analyzing a paint sample and generating values that describe various attributes of a proposed matching color, the method comprising:

• receiving from a coating-measurement instrument one or more coating texture variables and one or more coating sparkle variables of a target coating;
• calculating effect texture ratings for each of multiple proposed coating matches on a digital display device, wherein:
• the effect texture ratings indicate differences in effect textures between a target coating effect texture and effect textures associated with each of the multiple proposed coating matches, and
• each effect texture ratings is derived from a statistical mapping of the one or more coating texture variables to human-perceived rankings of relative effect texture differences between a set of coatings that does not include the target coating;
• calculating sparkle ratings for each of the multiple proposed coating matches, wherein:
• the sparkle ratings indicate differences in sparkle between a target coating sparkle and sparkle associated with each of the multiple proposed coating matches, and
• each sparkle ratings is derived from a statistical mapping of the one or more coating texture variables to human-perceived rankings of relative sparkle differences between a set of coatings that does not include the target coating;
• and
• generating a user interface that depicts overall rankings of at least a portion of the multiple proposed coating matches, wherein the overall rankings indicate a similarity between the target coating and each of the at least a portion of the multiple proposed coating matches with respect to the effect texture ratings and the sparkle ratings.