An unstructured lumigraph based approach to the SVBRDF estimation problem
Autor: | Beatriz Trinchão Andrade, Luciano Silva, Benjamin Resch, Olga Regina Pereira Bellon, Hendrik P. A. Lensch |
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Rok vydání: | 2020 |
Předmět: |
business.industry
Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION General Engineering 020207 software engineering 02 engineering and technology Grid Computer Graphics and Computer-Aided Design Reflectivity Rendering (computer graphics) Human-Computer Interaction Digital preservation 0202 electrical engineering electronic engineering information engineering Structure from motion Image acquisition 020201 artificial intelligence & image processing Computer vision Artificial intelligence Linear combination business Reflectance properties ComputingMethodologies_COMPUTERGRAPHICS |
Zdroj: | Computers & Graphics. 93:95-107 |
ISSN: | 0097-8493 |
Popis: | Appearance preservation aims to estimate reflectance functions to model the way real materials interact with light. These functions are especially useful in digital preservation of heritage and realistic rendering, as they reproduce the appearance of real materials in virtual scenes. This work proposes an image-based process that aims to preserve the appearance of surfaces whose reflectance properties are spatially variant. During image acquisition, this process considers the whole environment as a source of light over the area to be preserved and, assuming the environment is static, it does not require controlled environments. To achieve this goal, the scene geometry and relative camera positions are approximated from a set of HDR images taken inside the real scene, using a combination of structure from motion and multi-view stereo methods. Based on this data, a set of unstructured lumigraphs is traced, on-demand, inside the reconstructed scene. The color information retrieved from these lumigraphs is then used to estimate a linear combination of basis BRDFs for a grid of points in the surface area, defining thus its SVBRDF. This paper details the proposed method and presents the results obtained using real and synthetic settings. It shows that considering the whole environment as a source of light is a viable approach to obtain reliable results and to enable more flexible acquisition setups. |
Databáze: | OpenAIRE |
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