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Shape estimation using polarization and shading from two views

Atkinson, G.A. and Hancock, E.R. (2007) Shape estimation using polarization and shading from two views. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29 (11). pp. 2001-2017. ISSN 0162-8828

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This paper presents a novel method for 3D surface reconstruction that uses polarization and shading information from two views. The method relies on the polarization data acquired using a standard digital camera and a linear polarizer. Fresnel theory is used to process the raw images and to obtain initial estimates of surface normals, assuming that the reflection type is diffuse. Based on this idea, the paper presents two novel contributions to the problem of surface reconstruction. The first is a technique to enhance the surface normal estimates by incorporating shading information into the method. This is done using robust statistics to estimate how the measured pixel brightnesses depend on the surface orientation. This gives an estimate of the object material reflectance function, which is used to refine the estimates of the surface normals. The second contribution is to use the refined estimates to establish correspondence between two views of an object. To do this, surface patches are extracted from each view, which are then aligned by minimising an energy functional based on the surface normal estimates and local topographic properties. The optimum alignment parameters for different patch pairs are then used to establish stereo correspondence. This process results in an unambiguous field of surface normals, which can be integrated to recover the surface depth. Our technique is most suited to smooth nonmetallic surfaces. It complements existing stereo algorithms since it does not require salient surface features to obtain correspondences. An extensive set of experiments, yielding reconstructed objects and reflectance functions, are presented and compared to ground truth.

Item Type: Article
Institution: The University of York
Academic Units: The University of York > Computer Science (York)
Depositing User: York RAE Import
Date Deposited: 22 May 2009 13:15
Last Modified: 22 May 2009 13:15
Published Version: http://dx.doi.org/10.1109/TPAMI.2007.1099
Status: Published
Publisher: Institute of Electrical and Electronics
Identification Number: 10.1109/TPAMI.2007.1099
URI: http://eprints.whiterose.ac.uk/id/eprint/6335

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