Paper
9 September 2015 3D face recognition based on matching of facial surfaces
Beatriz Adriana Echeagaray-Patrón, Vitaly Kober
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Abstract
Face recognition is an important task in pattern recognition and computer vision. In this work a method for 3D face recognition in the presence of facial expression and poses variations is proposed. The method uses 3D shape data without color or texture information. A new matching algorithm based on conformal mapping of original facial surfaces onto a Riemannian manifold followed by comparison of conformal and isometric invariants computed in the manifold is suggested. Experimental results are presented using common 3D face databases that contain significant amount of expression and pose variations.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Beatriz Adriana Echeagaray-Patrón and Vitaly Kober "3D face recognition based on matching of facial surfaces", Proc. SPIE 9598, Optics and Photonics for Information Processing IX, 95980V (9 September 2015); https://doi.org/10.1117/12.2186695
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Facial recognition systems

Databases

Data modeling

Detection and tracking algorithms

Nose

3D scanning

Image segmentation

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