Three-dimensional human face recognition method based on human face full-automatic positioning

A three-dimensional face and face image technology, applied in the field of computer vision and pattern recognition, can solve the problems of difficult face segmentation, poor recovery accuracy, difficulty, etc., to increase the sample space and three-dimensional reconstruction of pose and illumination changes. The effect of increased speed, high efficiency and recognition rate

Active Publication Date: 2008-12-10
TSINGHUA UNIV
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Problems solved by technology

[0007] However, there are also many shortcomings in the existing technology. The main disadvantage of the attitude-invariant feature extraction method is that it is difficult to extract the attitude-invariant features; Absolutely divided, and the wrong pose estimation will reduce the performanc...

Method used

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  • Three-dimensional human face recognition method based on human face full-automatic positioning
  • Three-dimensional human face recognition method based on human face full-automatic positioning
  • Three-dimensional human face recognition method based on human face full-automatic positioning

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Embodiment 1

[0030] 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

[0157] This embodiment provides a method for face image recognition. 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 ; Classifying the compressed features to obtain a classification result; matching the classification result with a preset classification result, and identifying the face image to be recognized according to the matching result. Such as Figure 4 As shown, this embodiment includes:

[0158] 201: Obtain a two-dimensional face image to be recognized, and perform preprocessing.

[0159] 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 here. ...

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Abstract

The present invention discloses a three-dimensional human face identifying method based on human face full-automatic positioning and belongs to the computer vision and mode identifying field. A human face virtual image generating method comprises the steps as follows: a two-dimensional human face shape model and a partial veins model are established; a two-dimensional human face image is positioned exactly; the two-dimensional human face image is processed for three-dimensional reconstruction according to the positioning result to obtain a three-dimensional human face image; the three-dimensional human face image is processed for illumination model treatment to obtain a virtual image with changeable gestures and illumination. The method comprises the steps as follows: characteristics are picked up from the human face image to be identified and compressed; the human face is identified according to the compressed and processed characteristics. The present invention embodiment generates the virtual image by the three-dimension reconstructing of the two-dimensional human face image and by processing the illumination model, thereby increasing the sample space of the gesture and the illumination change of the image; at the same time, the three-dimension reconstructing speed is improved greatly, thereby ensuring that human face image identification has higher efficiency and recognition rate.

Description

technical field [0001] The invention relates to the fields of computer vision and pattern recognition, in particular to a three-dimensional face recognition method based on full-automatic face positioning. Background technique [0002] The face recognition system takes face recognition technology as the core. It is an emerging biometric technology and a high-tech technology in the international scientific and technological field. Face recognition system has a wide range of applications due to its non-reproducibility, convenient collection, and no need for the cooperation of the person being photographed. [0003] Although face recognition has been studied for decades, it remains a challenging problem in the field of pattern recognition even today. There are still a series of difficult problems in the face recognition method. For example, when the face posture, expression and ambient lighting (PIE, Pose Illumination Expression) change greatly, the recognition rate will drop ...

Claims

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Application Information

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IPC IPC(8): G06T17/00G06T15/00G06T11/00G06K9/00
Inventor 丁晓青方驰王丽婷丁镠刘长松
Owner TSINGHUA UNIV
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