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Digitizing translucent object appearance by validating computed optical properties
DTU Technical University of Denmark, Sweden.
DTU Technical University of Denmark, Sweden.
Spanish National Research Council, Spain.
RISE Research Institutes of Sweden, Safety and Transport, Measurement Technology.
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2024 (English)In: Applied Optics, ISSN 1559-128X, E-ISSN 2155-3165, Vol. 63, no 16, p. 4317-4331Article in journal (Refereed) Published
Abstract [en]

The optical properties available for an object are most often fragmented and insufficient for photorealistic rendering of the object. We propose a procedure for digitizing a translucent object with sufficient information for predictive rendering of its appearance. Based on object material descriptions, we compute optical properties and validate or adjust this object appearance model based on comparison of simulation with spectrophotometric measurements of the bidirectional scattering-surface reflectance distribution function (BSSRDF). To ease this type of comparison, we provide an efficient simulation tool that computes the BSSRDF for a particular light-view configuration. Even with just a few configurations, the localized lighting in BSSRDF measurements is useful for assessing the appropriateness of computed or otherwise acquired optical properties. To validate an object appearance model in a more common lighting environment, we render the appearance of the obtained digital twin and assess the photorealism of our renderings through pixel-by-pixel comparison with photographs of the physical object. 

Place, publisher, year, edition, pages
Optica Publishing Group (formerly OSA) , 2024. Vol. 63, no 16, p. 4317-4331
Keywords [en]
Lighting; Optical properties; Pixels; Rendering (computer graphics); Appearance models; Bidirectional scatterings; Distribution-functions; Model-based OPC; Object appearance; Photorealistic rendering; Scattering surface; Spectrophotometric measurements; Surface reflectance; Translucent objects; Distribution functions
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-73626DOI: 10.1364/AO.521974Scopus ID: 2-s2.0-85194952124OAI: oai:DiVA.org:ri-73626DiVA, id: diva2:1869758
Note

Acknowledgment. The authors would like to thank Covestro AG Deutschland and Rafael Oser for kindly providing us with samples and Klaus Liltorp for 3D scanning our samples. This work has been done in the frame of the EMPIR project 18SIB03 (BxDiff), which has received funding from the EMPIR program co-financed by the participating states and from the European Union\u2019s Horizon 2020 Research and Innovation Programme. This publication is part of the project TED2021-129661B-C21, funded by MCIN/AEI/10.13039/501100011033 and by the European Union \u201CNextGenerationEU/PRTR,\u201D in which Pablo Santaf\u00E9-Gabarda and Alejandro Ferrero are involved. Mark Bo Jensen and Jeppe Revall Frisvad would like to acknowledge funding received from Innovation Fund Denmark, project 0223-00041B (ExCheQuER).

Available from: 2024-06-13 Created: 2024-06-13 Last updated: 2024-06-13Bibliographically approved

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