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Method for recognizing face images

A face image and virtual image technology, applied in the field of computer vision and pattern recognition, can solve the problems of difficult face division, poor recovery accuracy, difficulty, etc., to increase the sample space of posture and illumination changes, and the speed of 3D reconstruction. The effect of improving, high efficiency and recognition rate

Active Publication Date: 2011-10-26
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 performance of face recognition; while the method based on the 3D model of the face, although it can solve the pose problem better, there are still many difficulties, such as large amount of calculation, slow speed and recovery accuracy Poor, and requires manual positioning of feature points for initialization

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  • Method for recognizing face images

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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

[0156] 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:

[0157] 201: Obtain a two-dimensional face image to be recognized, and perform preprocessing.

[0158] 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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Abstract

The embodiment of the invention discloses a method for recognizing face images, which comprises the steps of: accurately positioning two-dimensional face images in a preset database; conducting three-dimensional reconstruction to the two-dimensional face images according to a preset three-dimensional face image model and the accurate positioning results of the two-dimensional face images to obtainthree-dimensional face images; conducting illumination model treatment to the three-dimensional face images to obtain virtual images with changing postures and illumination; classifying the virtual images to obtain classification results and taking the classification results as preset classification results; and recognizing the two-dimensional face images to be recognized by using the preset classification results. The method increases the sample space of the posture and illumination change of images by the three-dimensional reconstruction and illumination model treatment of the two-dimensional face images to generate virtual images and accelerates the three-dimensional reconstruction to a great extent simultaneously, thus leading the recognition of face images to have 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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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06T17/00G06T15/50
Inventor 丁晓青方驰王丽婷丁镠刘长松
Owner TSINGHUA UNIV
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