APCOCOS · Appearance Prediction of Colour Coatings based on under-surface Scattering and optical measurements of bi-directional reflection distribution function
FP6 — Marie Curie Actions (Human Resources and Mobility)
- Duration
- 2006-07-01 → 2008-06-30
- EU contribution
- €80,000
- Participants
- 1
- Scheme
- IRG
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Results in brief
Final Activity Report Summary - APCOCOS (Appearance prediction of colour coatings based on under-surface scattering and optical measurements of bi-directional reflection distribution function)
The field of predictive rendering concerns itself with those methods of image synthesis which yield results that do not only look real, but are also radiometrically correct renditions of nature, i.e., which are accurate predictions of what a real scene would look like under given lighting conditions. A real coating consists of pigments, effect pigments, clear lacquer and glaze. A novel and unique combination of real parameters that are commonly measured in the industry and a theoretical reflectance model consisting of measurable parameters was proposed. The authors designed perception parameters and put them into well-known surface reflection functions such as He and Torrance. The original contributions are the study of the sub-surface scattering of real paint and the prediction of its appearance in rendered images by the proposed model of light reflection beneath the paint surface. The other contributions are the high dynamic range (HDR) sky model above the city Sred that has been developed and used as natural illuminator of our paint surfaces. Because many paint producers want to keep their chemical compositions secret we have developed the concept of Black box paint model that keeps all the measurable parameters in its database related the reference ID of paint. By this way all parameters needed for visual prediction are available and the composition is not opened to public. A new objective established during the course of the work was the observation of sparkling effect in some paints that has been captured by HDR static photos and visualized on common monitors and HDR monitors with comparison of the visual quality. Surprisingly, the best visual appearance of sparkles has been observed on common monitors.
Data: CORDIS, © European Union
Project objective
The main objective of the project is to render paints with the focus on high quality output so that the final rendering will highly correspond to the human perception of the real paints. The problem of appearance prediction of paint from direct measurements of Bi-directional Reflection Distribution Function (BRDF) is solved here.We will focus mostly on modeling metallic and pearlescent paints. Rendering of coloured, metallic and pearlescent paints will be performed from BRDF data or eventually from Bi-directional Texture Function (BTF) data. We will consider both possibilities and choose the one, after considering benefits of each representation and additional statistical information about structure of metallic and pearlescent layer.The goal of rendering is not to perform visualization in real time with large number of frames per second; how ever-endering software will try to take advantage of programmability, high performance and parallelism of modern graphics cards in processing of data to achieve interactive or eventually nearly interactive results.We will propose a solution consisting of data acquisition from paint samples; new mathematical model based on multiple pigment layers; and new methods for storage and fast calculations on modern graphics processors (GP U).We will study the undiscovered optical processes within the paints; we will formulate the relation between paint composition and final appearance, based on which the paint composition (pigments) will be determined.
Original text from CORDIS.
Participants
- UNIVERSITY OF SAINT CYRIL AND METOD IN TRNAVA · TRNAVACoordinatorCity levelSlovakia
Links
Data: CORDIS, © European Union