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3D Face Reconstruction from Two Orthogonal Images for Face Recognition Applications

3D Face Reconstruction from Two Orthogonal Images for Face Recognition Applications

Stefano Berretti, Alberto Del Bimbo, Pietro Pala
Copyright: © 2010 |Volume: 1 |Issue: 3 |Pages: 17
ISSN: 1947-9077|EISSN: 1947-9085|EISBN13: 9781609609627|DOI: 10.4018/jdls.2010070103
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MLA

Berretti, Stefano, et al. "3D Face Reconstruction from Two Orthogonal Images for Face Recognition Applications." IJDLS vol.1, no.3 2010: pp.42-58. http://doi.org/10.4018/jdls.2010070103

APA

Berretti, S., Del Bimbo, A., & Pala, P. (2010). 3D Face Reconstruction from Two Orthogonal Images for Face Recognition Applications. International Journal of Digital Library Systems (IJDLS), 1(3), 42-58. http://doi.org/10.4018/jdls.2010070103

Chicago

Berretti, Stefano, Alberto Del Bimbo, and Pietro Pala. "3D Face Reconstruction from Two Orthogonal Images for Face Recognition Applications," International Journal of Digital Library Systems (IJDLS) 1, no.3: 42-58. http://doi.org/10.4018/jdls.2010070103

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Abstract

In this paper, an original hybrid 2D-3D face recognition approach is proposed using two orthogonal face images, frontal and side views of the face, to reconstruct the complete 3D geometry of the face. This is obtained using a model based solution, in which a 3D template face model is morphed according to the correspondence of a limited set of control points identified on the frontal and side images in addition to the model. Control points identification is driven by an Active Shape Model applied to the frontal image, whereas subsequent manual assistance is required for control points localization on the side view. The reconstructed 3D model is finally matched, using the iso-geodesic regions approach against a gallery of 3D face scans for the purpose of face recognition. Preliminary experimental results are provided on a small database showing the viability of the approach.

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