Conference Keywords: Visual Rendering Methods, Physical and Visual Characterization, Appearance Design and Reproduction, Appearance and Quality Assessment, Optical Models and Measurements
Call for paper
See Overview and Topics tabs for details on technical content and solicited topics.
- Best Student Paper Award
Proposed Joint sessions
- Surface Appearance Modeling and Reproduction with the Color Imaging: Displaying, Processing, Hardcopy, and Applications Conference
Ways to Submit
There are three options for submission; please read the descriptions carefully.
- Presentation at the conference and publication in the conference proceedings. This is the most common option, and if accepted may be assigned either an oral or interactive (poster) presentation. Submit a 1,000-word structured abstract with optional figures using the symposium template
- Presentation-only. Oral presentation at the conference, but no publication of work in the conference proceedings. Submit a 500-word short abstract
- JIST-first. Expedited review and publication in the Journal of Imaging Science and Technology (JIST) before the conference, oral presentation at the conference, and inclusion in the conference proceedings. To meet the publication timeline, successful JIST-first submissions must require only minor revisions in response to peer-review. Those not meeting this stringent standard are automatically re-considered for presentation at the conference and publication in the proceedings (option 1 above). Author instructions for journal submissions
Final Manuscript Deadline
The final manuscript is due 20 November 2017 for onsite proceedings.
The field of material appearance is in constant evolution and appearance continues to be a crucial issue across a range of industrial domains. It is a signature of quality for manufactured and natural products and a criterion of choice for end-customers. Digital processes tend to replace ancient manual manufacturing, thus providing more repeatable aspects for the produced objects, but depriving the manufacturer of traditional, manual means of appearance improvements.
In this evolution, digital imaging takes a central place, from its role in online selling, to medical imaging devices assisting physicians in their medical diagnostics by providing many kinds of images from which visual attributes can objectively be evaluated (in the presence or absence of the patient thanks to the spreading of telemedicine), to production or reproduction of objects by 3D printing (an upcoming, massive manufacturing method), to name only a few examples. Many additional examples can be found in human activity today with comparable technical, economical or societal issues.
Assessing and measuring quality is a big challenge for science, because of the subjective part of appearance perception, and also because of the number of disciplines this subject encompasses: material sciences and chemistry, physics and optics for both modelling and measurement, computer science – for simulation, display, or data analyses, digital imaging, sensorial science, and other disciplines usually discarded from “hard sciences” such as design, psychophysics and psychology, and sociology. The Material Appearance conference aims at gathering this broad variety of knowledge, and rendering the current pioneering research in both academic and industrial laboratories for understanding appearance.
Physical and visual material characterization:
- Scattering and absorption properties, (3D) material structure, optical index, surface topology, color, gloss, texture, translucency, Bidirectional Reflectance Distribution Functions (BRDF), Bidirectional Texture Functions (BTF), and Bidirectional Surface Scattering Reflectance Distribution Function (BSSRDF)
- Spectrophotometry, gonio-spectrometry, spectral imaging, angular imaging, 3D imaging, OCT, polarized imaging, glossmeters, non-invasive measurements
- Light scattering, reflection/transmission by multilayers, flux transfer models, wave optics, inverse approach
- Acquisition of object images (spectral, 3D…), soft proofing methods for 2.5D and 3D printing, reproduction quality assessment, natural materials, materials for fabrication
Simulation and display:
- HDR/spectral display for material appearance, virtual proofing for design, physically-realistic image synthesis
- Art, textile, medical, automotive, object design, manufacturing, lighting, e-commerce, security
The Material Appearance Conference began in 2014 as the Measuring, Modeling and Reproducing Material Appearance Conference (MMRMA), within Electronic Imaging Symposium 2014, founded by Jan Allebach (Purdue University) jointly with Philipp Urban (Fraunhofer-Institut für Graphische Datenverarbeitung) and Maria Ortiz Segovia (Océ Print Logic Technologies). After co-founding the conference in 2014 Jan Allebach stepped down and Francisco Imai (Canon U.S.A. Inc.) joined as a co-chair. Continuing the process of rotating chairs and bringing new focuses to the meeting, Maria Ortiz Segovia and Phililpp Urban decided to step down after founding the meeting and working for three years. Ingeborg Tastl (HP Inc. Laboratories) and Mathieu Hébert (Université Jean Monnet/CNRS) join Francisco Imai as co-chairs in 2017. The name of the conference is also simplified as Material Appearance Conference (MAAP) in 2017 giving continuity to MMRMA Conference. We enjoy our annual reunions, as shown in this photo of our MMRMA (now MAAP) Committee Luncheon in 2016.
The rapid and continuous development of rendering devices such as displays and printers offers interesting challenges related to how materials are understood. Over the years, researchers from different disciplines have studied the interaction of incident light with the texture and surface geometry of a given object, as well as the optical properties of distinct materials. Thanks to those efforts, we have been able to render with high accuracy 2.5D and 3D objects and scenes. But given the day-to-day technological improvements of materials and devices along with the advances in the areas of visual and tactile perception, modeling how light interacts with materials, and techniques for measuring material properties, the field of material appearance is in constant evolution. This conference offers the possibility to share research results and establish new collaborations among academic and industrial researchers from these related fields. Since its foundation this conference has been a meeting place for communities involved in material appearance metrology, perception, modeling, rendering and reproduction and in the reproduction domain it has gradually shifted from more traditional color inkjet printing to material appearance aspects for emerging 2.5D and 3D printing processes. This meeting has received generous support from Canon U.S.A. Inc. and Océ.
2017 – The future of material communication via the Appearance Exchange Format (AxF), Marc Ellens, Gero Mueller, and Francis Lamy, X-Rite, Inc. (United States)
2016 – Computational imaging for inverse scattering, Ioannis Gkioulekas, Harvard University (USA), Kavita Bala, Cornell University (United States), Frédo Durand, Massachusetts Institute of Technology (United States), Anat Levin, The Weizmann Institute of Science (Israel), Shuang Zhao, University of California, Irvine (United States), and Todd Zickler, Harvard University (United States)
2015 – Generative appearance models in the perception of materials and their properties, Roland W. Fleming, Justus-Liebig-Univ. Giessen (Germany
2014 – Perceiving, measuring, and modeling 3D material appearance, Christopher W. Tyler, Smith-Kettlewell Eye Research Institute (United States)
Past award winners:
2017 – The winner of the MAAP best student paper was Chloe LeGendre (USC Institute for Creative Technologies) for her work on « Optimal LED selection for multispectral lighting reproduction » sponsored by HP Inc.
2016 – The winner of the MMRMA best student paper was Michael Ludwig (University of Minnesota) for his work on « Effect of mesoscale surface structure on perceived brightness » sponsored by Canon U.S.A. Inc.
2015 – The winner of the MMRMA best student paper was Dennis den Brok (University of Bonn) for his work on « Extrapolation of bidirectional texture functions using texture synthesis guided by photometric normal » sponsored by Canon U.S.A. Inc.
MMRMA best student paper winner in 2015
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