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The appearance (color, gloss, texture) of an object greatly influences a customer’s appreciation of the quality of the object. Further, as manufacturers demonstrate their ability to provide objects having improved appearance properties, as well as exciting new ones, customer expectations for appearance quality increase. To enhance the development and implementation of new products and processes, it is essential that industries have the physical tools necessary to accurately quantify the appearance of their products, and the modeling capabilities to predict the appearance of objects based on their formulation and manufacturing processes. Current appearance metrology is almost exclusively based on specular and colorimetric measurements. This has led to a host of specialized metrics—e.g., at least 10 for “gloss” alone—that are useful in monitoring the day-to-day quality of a product, such as determining whether the paper produced today is as shiny as that produced yesterday. However, these metrics are inadequate for many current requirements including 1) describing metallic and pearlescent coatings which change appearance with angle of viewing and angle of illumination, 2) characterizing texture, 3) predicting the appearance of a finished product from the coating constituents, and 4) predicting the appearance of a coating as the product ages. Needs for new or improved characterization procedures, metrics, standards, and tools have been recognized by the industry for some time. This is illustrated by recommendations in a recent report by the Council on Optical Radiation Measurements (CORM) [1]. The recommendations include establishing a national appearance measurement laboratory program at NIST that would address a variety of appearance attributes, including gloss, distinctness of image, orange peel, texture, sheen, translucency, and contrast. The Council further recommends that this effort be supported by

Conference Report: Workshop on Advanced Methods and Models for Appearance of Coatings and Coated Objects