• Journal of Korea Multimedia Society
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• v.17 no.7
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• pp.906-914
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• 2014

There are many studies to create realistic paint effects and the research area still has attracted attention in these days. However, the consideration for the characteristics of the real paint effects from the point of viewers is not enough. In this paper, we extract the important paint features and survey the importance values. Based on the survey results, we suggest a new paint system. The paint system utilizes the paint simulation that reflects viscoelasticity and mixing suggested by You et al. (2013) and proposes the paint rendering method that represents the details of a paint, a solvent, and pigments. We survey the quality of our results and prove that our paint system is superior to the previous studies.

• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.1037-1044
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• 2007

Metallic paint is one of the most widely used coating in automotive, cosmetic and other applications because of its well-known ability to give a product realistic look which creates widespread consumer appeal. But, this coating has complicated subsurface structure which includes pigments, flakes, and transparent clearcoat. Though various analytic reflection models are available to simulate appearance of various surfaces, it is difficult to select an appropriate reflection model with faithful parameters for simulating this coating due to the complex subsurface structure of metallic paints. This paper presents a framework for accurate modeling of metallic coating by determining an appropriate reflection model among various existing BRDF (Bidirectional Reflectance Distribution Function) models. The selection of the appropriate model is achieved by measuring BRDF of various metallic paint samples using a BRDF measuring device i.e. gonioreflectometer and fitting an existing model to the measured data. Then, this model is effectively realized by rendering metallic painted surfaces. We believe that this framework can serve as a guide for those who wants to render metallic painted surfaces accurately with analytic BRDF model without expending time on extracting BRDF data using gonioreflectometer from real metallic paint sample.