Shape from Specular Reflection and Optical Flow |
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Authors: | J Lellmann J Balzer A Rieder J Beyerer |
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Affiliation: | (1) Lehrstuhl für Interaktive Echtzeitsysteme, Institut für Technische Informatik (ITEC), Department of Computer Science, University of Karlsruhe, 76128 Karlsruhe, Germany;(2) Institut für Angewandte und Numerische Mathematik, Department of Mathematics, University of Karlsruhe, 76128 Karlsruhe, Germany |
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Abstract: | Inferring scene geometry from a sequence of camera images is one of the central problems in computer vision. While the overwhelming
majority of related research focuses on diffuse surface models, there are cases when this is not a viable assumption: in many
industrial applications, one has to deal with metal or coated surfaces exhibiting a strong specular behavior. We propose a
novel and generalized constrained gradient descent method to determine the shape of a purely specular object from the reflection
of a calibrated scene and additional data required to find a unique solution. This data is exemplarily provided by optical
flow measurements obtained by small scale motion of the specular object, with camera and scene remaining stationary. We present
a non-approximative general forward model to predict the optical flow of specular surfaces, covering rigid body motion as
well as elastic deformation, and allowing for a characterization of problematic points. We demonstrate the applicability of
our method by numerical experiments on synthetic and real data. |
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Keywords: | Specular surfaces Deflectometry Shape from Shading Level sets Optical flow Constrained gradient descent |
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