Three-dimensional human face recognition method based on human face full-automatic positioning
A face image and three-dimensional face technology, applied in the field of computer vision and pattern recognition, can solve the problems of difficult face division, poor restoration accuracy, difficulty, etc., and achieve increased sample space and three-dimensional reconstruction of posture and illumination changes Effects of Speed Improvement, High Efficiency and Recognition Rate
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Embodiment 1
[0047] The embodiment of the present invention provides a method for generating a virtual human face image. The method performs multi-subspace shape modeling on a two-dimensional human face image in a database to obtain a two-dimensional human face shape model; Carry out local texture modeling to obtain a two-dimensional face local texture model; accurately position two-dimensional face images according to the two-dimensional face shape model and local texture model; As a result of the precise positioning of the face image, 3D reconstruction is performed on the 2D face image to obtain a 3D face image; the 3D face image is processed with an illumination model to obtain a virtual image of posture and illumination changes, thereby increasing the posture and illumination of the image. The sample space of illumination changes can overcome the influence of pose and illumination changes in the image recognition process. At the same time, the speed of 3D reconstruction has been greatl...
Embodiment 2
[0173] This embodiment provides a three-dimensional face recognition method based on full-automatic positioning of faces. The method obtains a two-dimensional face image to be recognized; extracts features from the two-dimensional face image; compresses the extracted features, The compressed features are obtained; the compressed features are classified to obtain a classification result; the classification result is matched with a 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:
[0174] 201: Obtain a two-dimensional face image to be recognized, and perform preprocessing.
[0175] 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 th...
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