Paper
6 September 2019 Non-rigid ICP and 3D models for face recognition
Author Affiliations +
Abstract
3D fitting algorithms are very important for searching particular facial parts and key points, which can be used for recognition of facial expressions with various face deformations. Common non-rigid ICP variants are usually based on the affine point-to-point approach. In this paper, in order to apply a non-rigid ICP to facial surfaces we build a part-based model of the 3D facial surface and combine it with a new non-rigid ICP algorithm. Computer simulation results are provided to illustrate the performance of the proposed algorithm.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sergei Voronin, Vitaly Kober, Artyom Makovetskii, and Aleksei Voronin "Non-rigid ICP and 3D models for face recognition", Proc. SPIE 11137, Applications of Digital Image Processing XLII, 111372K (6 September 2019); https://doi.org/10.1117/12.2529525
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KEYWORDS
Facial recognition systems

3D modeling

Clouds

3D image processing

3D scanning

Databases

Computer simulations

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