Host Institution: NTNU Main Supervisor: Jon Yngve Hardeberg (NTNU) Co-Supervisor(s): Yoav Bressler (STRAT) Philipp Urban (FHG) Jean-Baptiste Thomas (NTNU) Objectives Combine knowledge from computer graphics, vision, and imaging to define new methods for providing accurate visual previews of 2.5D and 3D printed material appearance. Identify major physical and perceptual attributes that correlate to the visual appearance […]

Host Institution: LEEDS Main Supervisor: Kaida Xiao (LEEDS) Co-Supervisor(s): Gael Obein (CNAM) Stephen Westland (LEEDS) Objectives Quantify factors affecting the appearance of facial skin under natural viewing conditions. Reproduce accurate high-fidelity skin prosthetics using 3D printing. Develop a perceptual skin appearance metric predicting the similarity between natural and manufactured skin in different lighting conditions. ESR Recruited

Host Institution: UWE Main Supervisor: Carinna Parraman (UWE) Co-Supervisor(s): Maria V. Ortiz Segovia (OCE) Arjan Kuijper (TUDA) Objectives To gain improved understanding of the behaviour of inks and paints and to develop methodologies for deposition. The significance here is path (vector), medium (ceramic, pigment, paint) and tool (syringe, brush, print head) dependent. Each combination will yield […]

Host Institution: LIU Main Supervisor: Sasan Gooran (LIU) Co-Supervisor(s): Daniel Nyström (LIU) Nur Arad (STRAT) Objectives Develop novel methods for structure-based halftoning, adaptively changing the halftone shape and dot size based on the image content and structure, to better mimic a specific surface structure for realistic appearance printing. Identify structures and patterns of images and […]

Host Institution: LIU Main Supervisor: Daniel Nyström (LIU) Co-Supervisor(s): Sasan Gooran (LIU) Kaida Xiao (LEEDS) Objectives The ESR will develop novel colour prediction models customized for the special inks and color mixing technique employed in 2.5D printing, as well as the extra dimension introduced. Develop colour prediction models for appearance printing, predicting the spectral outcome […]

Host Institution: CNAM Main Supervisor: Gael Obein (CNAM) Co-Supervisor(s): Markus Barbieri (BAEL) Philip John Green (NTNU) Objectives The naturalness of a material is often acquired through its gloss. The main objective is to identify, based on a metrological study of the specular reflection, the main difference between natural and artificial surfaces, though: Collect a minimum […]

Host Institution: NTNU Main Supervisor: Marius Pedersen (NTNU) Co-Supervisor(s): Stephen Westland (LEEDS) Arjan Kuijper (TUDA) Objectives Develop more meaningful and useful image quality metrics that better estimate how good material appearance (2.5D printed images) serve as visual representations of the objects they depict. Establish guidelines for subjective and objective evaluation of material reproduction. Modelling the […]

Host Institution: NTNU Main Supervisor: Jon Yngve Hardeberg (NTNU) Co-Supervisor(s): Gael Obein (CNAM) Markus Barbieri (BAEL) Knut Wold (NTNU) Objectives Develop an efficient measurement device for multi-dimensional (goniometric, spectral, geometric) measurement of material appearance properties for objects printed using 2.5D/3D print techniques. Define measurement-architectures for colour, gloss and texture measurements. Define innovative translucency measurement and […]