Shielded face detection method based on tensor completion

A technology of face detection and completion, applied in the field of image processing, which can solve problems such as the inability to supplement face features and the inability to deal with occluded face detection problems

Pending Publication Date: 2021-11-05
THE FIRST RES INST OF MIN OF PUBLIC SECURITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The existing technology cannot effectively use the temporal features between image sequences to supplement face features, nor can it deal with the problem of occluded face detection

Method used

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  • Shielded face detection method based on tensor completion
  • Shielded face detection method based on tensor completion
  • Shielded face detection method based on tensor completion

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Embodiment Construction

[0026] The present invention will be further described below in conjunction with the accompanying drawings. It should be noted that this embodiment is based on the technical solution, and provides detailed implementation and specific operation process, but the protection scope of the present invention is not limited to the present invention. Example.

[0027] This embodiment provides an occluded face detection method based on tensor completion, using face image sequence data to train a face detection network, and adding tensor completion feature constraints during the training process. Such as image 3 As shown, it specifically includes the following steps:

[0028] S1. Using 3D CNN to extract features of face image sequence data.

[0029] The feature extraction part that this embodiment relates to face detection network is a 3D CNN module, and its network structure is as follows Figure 4 shown. The network consists of an input layer, three convolutional layers, and three...

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Abstract

The invention discloses a shielded face detection method based on tensor completion.The data features of a face image sequence are extracted by employing a 3D CNN, so that the time sequence features in the face image sequence aresupplemented while the features of a single-frame face image are obtained, the richness of the features of the face image is improved, and the method plays an important role in improving the accuracy of a face detection result. Tensor completion is utilized to supplement the preliminarily extracted face image sequence data features, so that the adverse effects of face shielding and the like on the face detection result can be reduced, and the shielded face detection result is improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an occluded face detection method based on tensor completion. Background technique [0002] Face detection is a computer vision technique that determines whether a human face exists in a given image or video. It is an essential link in technologies such as face recognition, face tracking and facial expression recognition. Face detection technology has a wide range of application values ​​in human-computer interaction, intelligent monitoring, image / video retrieval and other fields. However, in practical application scenarios, the face to be detected is often blocked. For example, during the epidemic, people need to wear masks to enter and exit public places. The mask makes the collected face images or videos have larger faces. Feature loss, which will affect the results of face detection. Therefore, occluded face detection has very important research significance. [...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/2411G06F18/214
Inventor 王悦宸刘绍博钟绵军
Owner THE FIRST RES INST OF MIN OF PUBLIC SECURITY
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