IEEE: Research on 3D Face Recognition Algorithm

[ashwin kumar]

Abstract—Face recognition is one of the most hot and
challengeable technologies, which is based on biometrics, and
also one of the most potential technologies. As the most natural
and friendly identification method, automatic face recognition
has become the important part of the next generation
computing technology. 3D face recognition methods are able to
overcome the problems resulting from illumination, expression
or pose variations in 2D face recognition. Facial feature mainly
concentrate on the eyes, nose and mouth, therefore, this paper
mainly detects the characteristics of the three regions in the
human face, then calculate the geometric characteristics of
human face based on these characteristics point, including the
straight-line Euclidean distance, curvature distance, area,
angle and volume. The main contributions of the work is that
the curve distance of two key feature points is added into the
feature vector, which consists of Euclidean distance, curve
distance, angle and volume. Experiment results show that the
algorithm can recognize faces effectively.

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Ashwin,
9742738409