Geodesic Distances for 3D-3D and 2D-3D Face Recognition

In this paper, we propose an original framework for representing 2D and 3D face information using geodesic distances. This aims to define a representation enabling the direct comparison between 2D face images of an individual against its 3D face model. This representation is extracted by measuring geodesic distances in 2D and 3D. In 3D, the geodesic distance between two points on a surface is computed as the length of the shortest path connecting the two points. In 2D, the geodesic distance between two pixels is computed based on the differences of gray level intensities along the segment connecting the two pixels. Experimental results are shown to demonstrate the viability of the proposed solution.

[1]  Patrick J. Flynn,et al.  A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition , 2006, Comput. Vis. Image Underst..

[2]  Haibin Ling,et al.  Deformation invariant image matching , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[3]  K. Bush,et al.  Three-dimensional facial anthropometry using a laser surface scanner: validation of the technique. , 1996, Plastic and reconstructive surgery.

[4]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Azriel Rosenfeld,et al.  Face recognition: A literature survey , 2003, CSUR.

[6]  Alberto Del Bimbo,et al.  Description and retrieval of 3D face models using iso-geodesic stripes , 2006, MIR '06.

[7]  C. Cacou.  Anthropometry of the head and face , 1995 .

[8]  Thomas Vetter,et al.  Face Recognition Based on Fitting a 3D Morphable Model , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Patrick J. Flynn,et al.  Multiple Nose Region Matching for 3D Face Recognition under Varying Facial Expression , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[10]  Ping-Sing Tsai,et al.  Shape from Shading: A Survey , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[11]  Anil K. Jain,et al.  3D model-assisted face recognition in video , 2005, The 2nd Canadian Conference on Computer and Robot Vision (CRV'05).

[12]  Ron Kimmel,et al.  On Bending Invariant Signatures for Surfaces , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  Witold Pedrycz,et al.  Face recognition: A study in information fusion using fuzzy integral , 2005, Pattern Recognit. Lett..

[14]  Berthold K. P. Horn.  Understanding Image Intensities , 1977, Artif. Intell..