A computer aided color appearance design system for metallic car paint

Clement Shimizu, Gary W Meyer

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations

Abstract

A computer aided design system for determining the color appearance of metallic automotive coatings has been developed. A sketch based bidirectional reflectance distribution function design interface allows simple concept art to be used to style new metallic car colors. The final design is specified using industrial measurement standards for metallic color appearance, and paint formulations are determined by employing an automotive refinish system. A virtual collection of existing automotive paints, specified using the measurement standard, is provided, and tools for searching this database, for both design and manufacturing purposes, are described. The system is assessed by using it in industrial and educational design studios.

Original languageEnglish (US)
Pages (from-to)93-102
Number of pages10
JournalFinal Program and Proceedings - IS and T/SID Color Imaging Conference
Volume2015-January
Issue number1 of 1
DOIs
StatePublished - 2015
Event23rd Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, CIC 2015 - Darmstadt, Germany
Duration: Oct 19 2015Oct 23 2015

Bibliographical note

Funding Information:
The authors would like to thank Alan Rodrigues at DuPont Performance Coatings for his encouragement and for his help in using ColorNet to obtain paint formulations.We are also grateful to Bryon Fitzpatrick at the College for Creative Studies for opening up his classroom, and we thank his students for using our software and for giving us suggestions on how to make it better. Jon Hall at the Ford Product Development Center provided ongoing inspiration for this research, and Kevin Ellwood and Mark Nichols at the Ford Research and Innovation Center supplied guidance. This research was supported by a grant from the Ford Motor Company.

Publisher Copyright:
© 2015 Society for Imaging Science and Technology.

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