Cross-pose face recognition method based on progressive neural network and attention mechanism
A neural network and face recognition technology, applied in the field of face recognition, can solve the problem of increasing the amount of parameters and calculation
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Example Embodiment
[0069] Example
[0070] like figure 1 As shown, this embodiment provides a cross-pose face recognition method based on a progressive neural network and an attention mechanism, including the following steps:
[0071] S1: Face data preprocessing: use the MTCNN tool to detect the face and 5 key points of the face, and align them;
[0072] In this embodiment, MTCNN is used to detect the face boundingbox and 5 key points of the face, and TCDCN is used to detect 68 key points of the face according to the face image and boundingbox, and then according to the detected 5 face key points and the standard The alignment template is affine transformed to align faces. For the training set, if the face data of key points and bounding boxes cannot be detected, they are directly filtered; for the test set, manual annotation is appropriately performed.
[0073] S2: Detect the angle of the face data in the training set, that is, estimate the pose information of the face;
[0074] In the pres...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap