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- W63571981 abstract "We present a novel five source near-infrared photometric stereo 3D face capture device. The accuracy of the system is demonstrated by a comparison with ground truth from a commercial 3D scanner. We also use the data from the five captured images to model the Bi-directional Reflectance Distribution Function BRDF in order to synthesise images from novel lighting directions. A comparison of these synthetic images created from modelling the BRDF using a three layer neural network, a linear interpolation method and the Lambertian model is given, which shows that the neural network proves to be the most photo-realistic." @default.
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- W63571981 date "2013-01-01" @default.
- W63571981 modified "2023-09-23" @default.
- W63571981 title "BRDF Estimation for Faces from a Sparse Dataset Using a Neural Network" @default.
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- W63571981 doi "https://doi.org/10.1007/978-3-642-40261-6_25" @default.
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