Human face beautifying method based on non-supervision optimal beauty features and depth evaluation model

A technology for evaluating models and face beautification, applied in the field of face beautification to achieve the effect of beauty and diversity

Active Publication Date: 2014-04-30
WUYI UNIV
View PDF5 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In short, there are few very comprehensive face beautification methods to extract effective face beauty features and use reason

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Human face beautifying method based on non-supervision optimal beauty features and depth evaluation model
  • Human face beautifying method based on non-supervision optimal beauty features and depth evaluation model
  • Human face beautifying method based on non-supervision optimal beauty features and depth evaluation model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] refer to Figure 1 to Figure 7 , a face beautification method based on unsupervised optimal beauty features and depth evaluation model of the present invention, the core idea of ​​which is to use the apparent features extracted by CDBN (Convolutional Deep Belief Network) to establish a face beauty depth evaluation model, The optimal facial beauty feature is learned through unsupervised clustering and beauty approximation function, and then the feature and geometric deformation are used to beautify the face sample image under the guidance of the facial beauty depth evaluation model. The present invention will be further described below with reference to the accompanying drawings and examples.

[0040] The first step is to establish a facial beauty depth evaluation model

[0041] 1.1 Establish a face sample training set and a natural image training set, of which the face sample training set comes from a large number of face sample images collected online, and the natural...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a human face beautifying method based on non-supervision optimal beauty features and a depth evaluation model. Apparent features extracted with the CDBN are used for establishing the human face beauty depth evaluation module, the optimal human face beauty features are studied through a non-supervision cluster and a beauty approximation function, and therefore human face sample images are beautified under the guidance of the human face beauty depth evaluation model by utilizing the features and a geometric deformation mode. After different samples to be beautified are beautified by the human face beautifying method, human faces of different beautiful styles can be obtained, so that the aesthetics of the human faces cannot be excessively single, diversity of beauty is embodied, and different requirements for aesthetics of different people are met. Meanwhile, based on the reasonable beauty attraction approximation function, it can be ensured that the human face images cannot be beautified into human faces of other types, and the basic features of the human face images can be reserved.

Description

technical field [0001] The invention relates to a face beautification method based on an unsupervised optimal beauty feature and a depth evaluation model. Background technique [0002] With the advancement of the times and the rapid advancement of technology, people gradually began to pay attention to their external image. Beauty can bring joy to the soul and arouse strong emotional fluctuations. A beautiful appearance will give you full self-confidence, make a good impression on the other party, and at the same time get more attention than ordinary people. Aristotle said: "A beautiful face is a better testimonial". The research on facial beauty is a frontier topic of research on the nature and laws of human cognition that has arisen in recent years. Exploring how to better create beauty and use beautiful features to beautify the face will contribute to the beauty password of the human face, which is an eternal human task. The subject is scientifically, objectively and qu...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/62
Inventor 翟懿奎李立琛甘俊英
Owner WUYI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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