Multi-task deep learning network-based training method, system, multi-task deep learning network-based identification method and system

Abstract

The invention provides a multi-task deep learning network-based training method, a multi-task deep learning network-based training system, a multi-task deep learning network-based identification method and a multi-task deep learning network-based identification system. The training method includes the following steps that: the face region of a face image in a training set is obtained; key point detection is performed on the face region, so that key feature point positions are obtained; affine transformation is performed on the face image according to the key feature positions, so that an aligned face image can be obtained; and the aligned face image is inputted into a multi-task deep learning network, so that training can be carried out, and therefore, a multi-task deep learning network model can be obtained. The identification method includes the following steps that: affine transformation is performed on a face image to be identified according to the key feature positions of the face image to be identified, so that an aligned face image can be obtained; the aligned face image is inputted into a trained multi-task deep learning network model, so that feature extraction can be carried out, and feature information can be obtained; and the feature information of the face image to be identified is matched with feature information corresponding to each face image in a registration set, so that identification results can be obtained. With the methods and systems adopted, the training and identification efficiency of the multi-task deep learning network can be improved.

Description

technical field [0001] The present invention relates to the technical field of face recognition, in particular to a training method, recognition method and system based on a multi-task deep learning network. Background technique [0002] Face recognition technology is a biometric-based identification method that uses the physiological or behavioral characteristics that humans possess and can uniquely identify their identity for identity verification. With the increasing application of human-computer interaction technology, face recognition technology is of great significance in the field of human-computer interaction. As one of the main research methods in the field of pattern recognition and machine learning, a large number of face recognition algorithms have been proposed. [0003] At present, in face recognition and its various attribute recognition methods, the deep learning network is usually trained separately according to different tasks to obtain their respective de...

AI Technical Summary

Problems solved by technology

However, the existing single-task deep learning network is inefficient in training and recognition, which leads to a decrease in the overall performance of the network

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