The invention provides a head and
face size and shape classification method based on three-dimensional
point cloud coordinates. The head and face
number type classification method comprises the stepsthat 1, head and face three-dimensional
point cloud data are collected; 2, key parameters are defined, and key point radiuses are obtained; 3,
data processing is performed to obtain a final head and face
data model; and 4, according to the final head and face
data model,
head size and shape classification is completed through
principal component analysis. The step 3 comprises the following sub-steps: step 31, denoising the acquired head and face three-dimensional
point cloud data; step 32, for the denoised point
cloud data, performing coordinate adjustment on each grid vertex of the
data model; 33, filling a hole; and 34, carrying out fairing. According to point
cloud data obtained through three-dimensional scanning, shape information and curved surface information of the head and the faceare comprehensively considered; the
data processing process is completed by selecting the
data processing template, the
data restoration and
noise reduction effects are achieved, and the analysis efficiency is improved; and meanwhile,
principal component analysis is creatively carried out on point cloud coordinates, so that the accuracy of head number size and shape classification is improved.