Method for recognizing face images
A face image and image technology, applied in the field of face image recognition, can solve the problems of reduced face recognition performance, large amount of calculation, poor recovery accuracy, etc., and achieve the effect of increasing sample space and high recognition rate
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Embodiment 1
[0021] The embodiment of the present invention provides a method for face image recognition. The method performs multi-subspace shape modeling on a two-dimensional face image in a database to obtain a two-dimensional face shape model; Local texture modeling to obtain a 2D face local texture model; according to the 2D face shape model and local texture model, accurately position the 2D face image; according to the preset 3D face shape model and the 2D face Accurate positioning results of face images, 3D reconstruction of 2D face images to obtain 3D face images; lighting model processing of 3D face images to obtain virtual images of posture and illumination changes, thus increasing the posture and illumination of the image The changing sample space can overcome the influence of pose and illumination changes in the image recognition process. The obtained virtual image is extracted and classified, and the classification result is used to recognize the face image, which improves th...
Embodiment 2
[0181] The present embodiment provides a face recognition method, the method obtains a two-dimensional face image to be recognized; extracts features from the two-dimensional face image; compresses the extracted features to obtain compressed features; The compressed features are classified to obtain a classification result; the classification result is matched with the preset classification result, and the face image to be recognized is recognized according to the matching result. Such as Figure 4 As shown, this embodiment includes:
[0182] 401: Obtain a two-dimensional face image to be recognized, and perform preprocessing.
[0183] Specifically, the preprocessing of the two-dimensional face image includes: correction of the plane rotation and normalization of the scale and gray level of the face area, usually using the eye part in the image as a reference point for normalization. The normalization method is the same as the method in Example 1, and will not be repeated he...
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