Geometrical feature-based human face aesthetics analyzing method

A technology of geometric features and analysis methods, applied in the field of facial aesthetic analysis, can solve problems such as heavy workload, inability to achieve full automation, poor robustness, etc., and achieve the effect of good classification results

Inactive Publication Date: 2011-11-23
BEIJING JIAOTONG UNIV
View PDF2 Cites 28 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0013] (1) For the subspace-based algorithm, it needs to perform position calibration preprocessing on the input face image, and is susceptible to illumination, pose changes, image quality, etc.
[0014] (2) For the method based on geometric features, firstly, this method is less robust to strong expression changes and posture changes; secondly, general geometric featu

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
  • Geometrical feature-based human face aesthetics analyzing method
  • Geometrical feature-based human face aesthetics analyzing method
  • Geometrical feature-based human face aesthetics analyzing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0048] refer to figure 1 , shows a schematic diagram of a face aesthetic analysis method based on geometric features according to the present invention, and the specific implementation of the present invention will be described in detail below.

[0049] 1. Geometric point labeling

[0050] In the present invention, considering the size of the manual workload, when selecting the geometric label points of the face image, a total of 41 feature points are selected, and the connection lines of each feature point on each organ can roughly describe the outline of the organ. Each input face image is manually marked according to the preset 41 geometric feature points, and the coordinate value of each point is stored. figure 2 The select...

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 provides a geometrical feature-based human face aesthetics analyzing method, which comprises the steps of: carrying out combining description through combined strategy-based local geometrical features and constructing weak classifiers by using memory-based dynamically weighted kernel density estimation (MDKDE); and realizing effective integration of the features by using an Adaboost ensemble learning mechanism so as to obtain accurate classifications for human face aesthetics. Different from the traditional geometrical feature-based human face aesthetics analyzing technique, the geometrical feature-based human face aesthetics analyzing method selects the local geometrical features which are used for describing human face aesthetics from multiple angles, such as Euclidean distance, gradient and area and the like to compose single descriptions for the human face aesthetics, and combined feature description is obtained by combining descriptions of the local geometrical features, and the weak classifiers for Adaboost ensemble learning are constructed by using the MDKDE, thus a good classifying result for randomly input human face images is obtained.

Description

technical field [0001] The present invention relates to the technical field of human face aesthetic analysis methods, in particular to a geometric feature-based human face aesthetic analysis method. Background technique [0002] Facial beauty is the unity of individuality and commonality. Individuality means that everyone's appearance is different and has its own beauty characteristics. Commonality means that everyone's beauty is different, but they all follow certain rules. Since ancient times, people's pursuit of beauty has never stopped. Philosophers, psychologists, and estheticians have also been trying to find the essence of beauty, and formed many aesthetic laws. For example, Chinese classical aesthetic standards have become the standard of Chinese culture. Important ideological systems, the "three courts and five eyes" theory of traditional Chinese aesthetics, the "golden ratio" that has been admired since ancient Greece, and the new "golden ratio" recently discovered...

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): G06K9/62G06K9/66
Inventor 朱振峰段红帅赵耀
Owner BEIJING JIAOTONG 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