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This project develops an objective method for evaluating image and surface quality in graphic 3D printing based on standardized 3D test cubes, a quality vector of relevant 2D and 3D attributes, and its merging via neural networks into a "3D score" to enable fair benchmarking, faster troubleshooting, and practical adoption through field testing, as well as contributions to ISO/TS 18621. About this form: the questionnaire supports Work Package activities by collecting expert judgments on the relative importance of appearance-based quality attributes in full-colour 3D printing. Participation is voluntary; you can skip any question. Results will be analyzed in aggregate only (no attribution) and used to (i) derive weights for the quality vector, (ii) prioritize test cube features, and (iii) inform field tests and standardization contributions. Fogra No. 13.011 • Partner: Fogra and Fraunhofer IGD
0 = low, 5 = high.