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Proceedings Paper

3D surface reconstruction based on combined analysis of reflectance and polarisation properties
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Paper Abstract

In this paper we present a novel image-based 3D surface reconstruction technique that incorporates both reflectance and polarisation features into a variational framework. The proposed technique is suitable for single-image and multi-image (photopolarimetric stereo) analysis. It is especially suited for the difficult task of 3D reconstruction of rough metallic surfaces. An error functional consisting of several error terms related to the measured reflectance and polarisation properties is minimised in order to obtain a 3D reconstruction of the surface. We show that the combined approach strongly increases the accuracy of the surface reconstruction result, compared to techniques based on either reflectance or polarisation alone. We perform an evaluation of the algorithm with respect to single and multiple reflectance and polarisation images of the surface, relying on synthetic ground truth data. This evaluation also reveals which polarisation features should preferably be used in the context of 3D reconstruction of rough metallic surfaces. Furthermore, we report 3D reconstruction results for a raw forged iron surface, thus showing the applicability of our method in real-world scenarios, here in the domain of industrial quality inspection.

Paper Details

Date Published: 13 June 2005
PDF: 12 pages
Proc. SPIE 5856, Optical Measurement Systems for Industrial Inspection IV, (13 June 2005); doi: 10.1117/12.612545
Show Author Affiliations
Pablo d'Angelo, DaimlerChrysler Research and Technology (Germany)
Christian Wohler, DaimlerChrysler Research and Technology (Germany)


Published in SPIE Proceedings Vol. 5856:
Optical Measurement Systems for Industrial Inspection IV
Wolfgang Osten; Christophe Gorecki; Erik L. Novak, Editor(s)

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