Lead Beneficiary: CNAM
To provide devices and protocols to represent numerically the appearance of surfaces and to provide perceptual meaningful metrics that quantifies the appearance difference between two surfaces.
Lead Beneficiary: LIU
Methodologies for appearance printing, to better control, predict and accurately reproduce the appearance of an original. This includes the development of methodologies for goniochromatic gamut mapping, structure-based halftoning methods and models for predicting the outcome of appearance 2.5D and 3D prints.
Lead Beneficiary: FHG
To propose a data processing workflow for 2.5D and 3D printing - from capturing system responses to print control parameters - for accurately reproducing appearance data. This includes the development of novel algorithms and strategies to fuse, represent, compress and communicate optical material properties and appearance attributes. To test and implement these schemes in Appearance management systems using iccMAX architecture.
Lead Beneficiary: OCE
Identify the commercial applications, strengths and weaknesses of current printing workflows for 2.5D and 3D printing and explore content-creation environments for applications involving capabilities to reproduce material appearance aspects such as gloss and texture. Evaluate the feasibility of different methods for material appearance reproduction in unconventional fields of applications. Test new combinations of material interactions between surfaces and pigments, dyes and finishes.