Three-dimensional face identification method and system based on regionalization implicit function features
A three-dimensional face and recognition method technology, applied in the field of three-dimensional face recognition, can solve the problem of face sub-region segmentation relying on posture correction, and achieve the effect of improving effectiveness and reducing time overhead.
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[0038] Example one
[0039] Such as figure 1 As shown, this embodiment provides a three-dimensional face recognition method based on regionalized implicit function features, including the following steps:
[0040] Collection steps: collect 3D face point cloud data.
[0041] Face reconstruction steps: select the basis function space, and according to the collected three-dimensional face point cloud data, calculate the implicit function and control matrix of different face regions in the basis function space, and then combine to obtain the control matrix of the entire face; The implicit functions of different face regions are extracted to complete the face surface reconstruction.
[0042] Face recognition steps: Convert the control matrix of the entire face into a Laplacian matrix and use it as a feature descriptor for 3D face recognition.
[0043] In addition, it also includes the step of face classification: dimensionality reduction is performed on the Laplacian matrix, and the dimensi...
Example Embodiment
[0121] Example two
[0122] Such as Figure 5 As shown, this embodiment provides a three-dimensional face recognition system based on regionalized implicit function features, including:
[0123] Collection module, which is used to collect three-dimensional face point cloud data;
[0124] The face reconstruction module is used to select the basis function space, and calculate the implicit function and control matrix of different face regions in the basis function space according to the collected three-dimensional face point cloud data, and then combine to obtain the control of the entire face Matrix, and according to the implicit function of different face regions, extract isosurfaces to complete face surface reconstruction;
[0125] The face recognition module is used to convert the control matrix of the entire face into a Laplacian matrix, and is used as a feature descriptor for 3D face recognition.
[0126] In this embodiment, the face reconstruction module includes a face area decom...
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