Metric depth recovery from monocular images using shape-from-shading and specularities

M Visentini-Scarzanella, D Stoyanov… - 2012 19th IEEE …, 2012 - ieeexplore.ieee.org
2012 19th IEEE International Conference on Image Processing, 2012ieeexplore.ieee.org
Despite recent advances in modeling the Shape-from-Shading (SFS) problem and its
numerical solution, practical applications have been limited. This is primarily due to the lack
of perspective SFS models without the assumption of a light source at the camera centre and
the non-metric spatial localisation of the reconstructed shape. In this work, we propose a
novel formulation of the SFS problem that allows the reconstruction of surfaces lit by a near
point light source away from the camera centre. We also show how knowledge of the light …
Despite recent advances in modeling the Shape-from-Shading (SFS) problem and its numerical solution, practical applications have been limited. This is primarily due to the lack of perspective SFS models without the assumption of a light source at the camera centre and the non-metric spatial localisation of the reconstructed shape. In this work, we propose a novel formulation of the SFS problem that allows the reconstruction of surfaces lit by a near point light source away from the camera centre. We also show how knowledge of the light source position can enable the recovery of depth information in a metric space by triangulating specular highlights. Validation of the proposed technique is reported on synthetic and endoscopic images.
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