Three-dimensional facial reconstruction method
A three-dimensional face and three-dimensional technology, which is applied in the field of image-based three-dimensional face reconstruction, can solve the problems of large amount of calculation and cannot be fully automated, and achieve the effect of robust reconstruction process, shortened geometric reconstruction speed and strong sense of reality.
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Embodiment 1
[0046] Embodiment one, with reference to figure 1 , establish a face deformation model offline, input a single frontal face image, and obtain the reconstruction result after face detection, face key point positioning, face geometric reconstruction, face texture fitting and other steps, the specific implementation process is as follows:
[0047] 1. Establishment of face deformation model
[0048] Use a 3D scanner to collect a real 3D face model and perform regularization processing, and perform principal component analysis on the shape and texture of the regularized face model to obtain a deformed face model, including shape components and texture components; the reconstructed 3D face model The shape and texture of the face model can be expressed as:
[0049] S = S 0 + Σ k = 1 M α k S ...
Embodiment 2
[0086] Embodiment two, refer to figure 2 The steps of the establishment of the deformation model, face detection, key point location and face geometric reconstruction are the same as those in the first embodiment. After the geometry of the three-dimensional face is obtained, the face texture fitting is not performed, but the input image is used as texture. The implementation steps of this embodiment are as follows:
[0087] Step 1. Use a 3D scanner to collect a real 3D face model and perform regularization processing. Perform principal component analysis on the shape and texture of the regularized face model to obtain a face deformation model, including two parts: shape component and texture component ;
[0088] Step 2. Use Adaboost to automatically detect the face position in the input image;
[0089] Step 3. Utilize the active appearance model to automatically locate the key points on the human face in the input image;
[0090] Step 4. Restore the shape parameters and a...
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