A method for estimating age based on group sparsity and electronic equipment
A group sparse and calculated technology, applied in the field of group sparse age estimation method and electronic equipment, can solve the problems of inaccurate age estimation and low calculation efficiency
Active Publication Date: 2021-09-14
冠传网络科技(南京)有限公司
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[0005] In order to solve the problems of inaccurate age estimation and low calculation efficiency in the prior art, this application provides an age recognition method based on group sparseness
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[0016] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the present invention will be further described in detail below in conjunction with the embodiments of the present invention and the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0017] In Example 1 of this application, an age estimation method based on group sparseness is proposed, as shown in the attached figure 1 shown, with figure 2 It is a structural block diagram of electronic equipment using the inventive method, and the main steps are as follows:
[0018] S1: Obtain a feature extraction model through tra...
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The present invention proposes an age estimation method based on group sparseness and electronic equipment, obtains a feature extraction model through training, obtains frontal face pictures and side face pictures, inputs the frontal face pictures and side face pictures into the feature extraction model respectively, and utilizes the preprocessing method Realize the feature extraction of the front face and side face, obtain the front face feature vector and side face feature vector, fuse the front face feature vector and side face feature vector, and determine the age corresponding to the front face picture and the side face picture according to the group sparse algorithm Predictive value. The present invention extracts features from front face pictures and side face pictures through preprocessing, fuses the two features based on group sparse theory and performs feature dimensionality reduction, and then classifies the features to obtain age expectations to complete age estimation, which improves the accuracy of age estimation accuracy and efficiency.
Description
technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an age estimation method based on group sparseness and electronic equipment. Background technique [0002] Predicting a person's apparent age from an image of a face is a classic problem in computer vision and artificial intelligence. From the prior knowledge of bioinformatics, we know that human face images contain rich age information, which brings new ideas to the age estimation task, especially when the large-angle profile and face information is incomplete. [0003] In recent years, methods based on convolutional neural networks have been widely used for age classification. Usually frontal or near-frontal face images are used for these studies, and side face images are rarely used for age estimation, which leads to inaccurate estimated ages. At the same time, when using a convolutional neural network for calculation, its computational complexity is often hi...
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IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/178G06V40/168G06V40/172G06V10/44G06N3/045G06F18/241
Inventor 苏旋郭轩魏凤仙
Owner 冠传网络科技(南京)有限公司