Robust learning from normals for 3D face recognition

Marras, I., Zafeiriou, S. and Tzimiropoulos, Georgios (2012) Robust learning from normals for 3D face recognition. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7584 L (PART 2). pp. 230-239. ISSN 0302-9743

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We introduce novel subspace-based methods for learning from the azimuth angle of surface normals for 3D face recognition. We show that the normal azimuth angles combined with Principal Component Analysis (PCA) using a cosine-based distance measure can be used for robust face recognition from facial surfaces. The proposed algorithms are well-suited for all types of 3D facial data including data produced by range cameras (depth images), photometric stereo (PS) and shade-from-X (SfX) algorithms. We demonstrate the robustness of the proposed algorithms both in 3D face reconstruction from synthetically occluded samples, as well as, in face recognition using the FRGC v2 3D face database and the recently collected Photoface database where the proposed method achieves state-of-the-art results. An important aspect of our method is that it can achieve good face recognition/verification performance by using raw 3D scans without any heavy preprocessing (i.e., model fitting, surface smoothing etc.). © 2012 Springer-Verlag.

Additional Information:cited By (since 1996) 0; Conference of 12th European Conference on Computer Vision, ECCV 2012; Conference Date: 7 October 2012 through 13 October 2012; Conference Code: 93332
Keywords:3D face recognition, 3D face reconstruction, 3D faces, Azimuth angles, Depth image, Distance measure, Facial data, Facial surfaces, Model fitting, Photometric stereo, Range cameras, Robust learning, Subspace based methods, Surface normals, Surface smoothing, Algorithms, Computer vision, Principal component analysis, Three dimensional, Three dimensional computer graphics, Face recognition
Divisions:College of Science > School of Computer Science
ID Code:8726
Deposited On:03 Apr 2013 14:42

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