A three-dimensional face recognition method based on sparse features

A technology of three-dimensional face and sparse features, which is applied in the field of face recognition, can solve the problems of high time consumption and complicated face information, and achieve the effect of reducing data dimension, reducing computing cost and high recognition rate

Inactive Publication Date: 2018-05-29
NINGBO INST OF TECH ZHEJIANG UNIV ZHEJIANG
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Problems solved by technology

[0003] In 3D face recognition, the face information is relatively complicated. How to extract the low-dimensional and effective feature information of 3D face is the key to improving the recognition accuracy.

Method used

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  • A three-dimensional face recognition method based on sparse features
  • A three-dimensional face recognition method based on sparse features
  • A three-dimensional face recognition method based on sparse features

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Embodiment Construction

[0019] The sparse feature-based three-dimensional face recognition method of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0020] Such as figure 1 As shown, a 3D face recognition method based on sparse features, including steps:

[0021] S1. Obtain 3D face information, and perform preprocessing on the 3D face information;

[0022] S2. Extracting sparse features with classification information after learning the three-dimensional face information through sparse representation and dictionary;

[0023] S3. Use a classifier to perform category prediction on the extracted sparse features to obtain a final classification result.

[0024] In step S1, the preprocessing process includes automatic denoising and cutting processing. Specifically, for the data set I={I corresponding to the three-dimensional face information 1 ,I 2 ,...,I N}, wherein all data sets corresponding to each three-dimensiona...

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Abstract

The invention provides a three-dimensional face recognition method based on sparse features. The method comprises the steps of: S1, acquiring three-dimensional face information and pre-processing thethree-dimensional face information; S2, extracting sparse features with classification information through sparse representation and dictionary learning of the three-dimensional face information; S3,performing class prediction on the extracted sparse features by using a classifier to obtain a final classification result. The three-dimensional face recognition method based on sparse features has the advantages that the K-SVD algorithm integrating sparse representation and dictionary learning is used for feature extraction of three-dimensional face models, so that the data dimensionality and the calculation cost are reduced; the algorithm is simple and easy to implement and has higher recognition rate and greater robustness.

Description

technical field [0001] The invention relates to the field of face recognition, in particular to a three-dimensional face recognition method based on sparse features. Background technique [0002] In recent years, with the development of 3D data acquisition technology, 3D face recognition has become a research hotspot in computer graphics and computer vision. Compared with two-dimensional face image recognition, three-dimensional face recognition incorporates geometric information such as surface shape, and is not easily affected by changes in illumination, expression, posture, etc., improves the accuracy of recognition, and has a broader market prospect. [0003] In 3D face recognition, the face information is relatively complicated. How to extract the low-dimensional and effective feature information of 3D face is the key to improving the recognition accuracy. Scholars at home and abroad have done a lot of important work in this area, and have proposed Face feature extract...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/168G06V40/172G06V10/513
Inventor 舒振宇辛士庆陈双敏庞超逸
Owner NINGBO INST OF TECH ZHEJIANG UNIV ZHEJIANG
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