Triaxial Slicing for 3-D Face Recognition From Adapted Rotational Invariants Spatial Moments and Minimal Keypoints Dependence

This letter presents a multiple slicing model for threedimensional (3-D) images of human face, using the frontal, sagittal, and transverse orthogonal planes. The definition of the segments depends on just one key point, the nose tip, which makes it simple and independent of the detection of several...

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Veröffentlicht in:	IEEE robotics and automation letters 2018-10, Vol.3 (4), p.3513-3520
Hauptverfasser:	Siqueira, Robson S., Alexandre, Gilderlane R., Soares, Jose M., The, George A. P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Classifiers Computer vision for automation Dependence Discriminant analysis Face Face recognition Facial recognition technology Feature extraction Invariants Iterative closest point algorithm Nose Nose tips Orthogonality Planes recognition Robustness Slicing Support vector machines surveillance systems Three dimensional models Three-dimensional displays Two dimensional displays
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