Surface reflectance acquisition for finished materials - phase 2

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Accurately representing the appearance of materials is of paramount importance in many applications. For**instance, finished materials (e.g. hardwood, melamine, etc.) manufacturers must convincingly convey the "look**and feel" of their products to potential customers, which must currently be done with physical samples.**Replacing those physical samples with immersive virtual tours would be greatly beneficial for demonstrations**of interior design, architecture, real estate projects and the like. However, in order for those virtual tours to be**convincing, they must accurately replicate the appearance of the various materials present in the premises.**While systems for capturing rich appearance models exist and have been proposed in the literature, many of the**solutions are either too complicated or restricted to very small material samples.**In this project, we will develop a data-driven capture approach that will overcome these limitations. By**leveraging the current database through deep learning, we will extrapolate the appearance of new materials**using very few images captured in an uncontrolled environment using a single consumer camera. This will**speed up tremendously virtual catalogs updates, strengthening the industrial partner's position as a leader in**software-based visualization tools.