Metric depth recovery from monocular images using Shape-from-Shading and specularities

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 localisa...

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Bibliographic Details
Published in2012 19th IEEE International Conference on Image Processing pp. 25 - 28
Main Authors Visentini-Scarzanella, M., Stoyanov, D., Guang-Zhong Yang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2012
Subjects
Cameras
Image reconstruction
Light sources
Measurement
Optical imaging
Shape
Surface reconstruction
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Summary: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.
ISBN:1467325341
9781467325349
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2012.6466786