Human face shape classification method and system

A face shape and face technology, which is applied in the field of face shape classification methods and systems, can solve the problems of low accuracy of face shape classification, and achieve the effects of overcoming poor robustness, improving accuracy, and improving precision
CN106909875AActive Publication Date: 2017-06-30湖南峰华智能科技有限公司
4 Cites 28 Cited by

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
湖南峰华智能科技有限公司
Publication Date
2017-06-30

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The embodiments of the invention provide a human face shape classification method and a system, wherein the method comprises: obtaining the three-dimensional point cloud data of a target user's head part and two-dimensional image data; according to the three-dimensional point cloud data, generating a three-dimensional model for the target user's head part; according to the corresponding relationship between the three-dimensional point cloud data and the two-dimensional image data, mapping the two-dimensional image data into the three-dimensional model; based on the texture information and the color information of the two-dimensional image data, detecting the human face area; according to the mapped three-dimensional model and the human face area, extracting the human face characteristics points; and according to the human face characteristics points, performing classification to the target user's human face shape. The embodiments of the invention increase the accuracy to extract the human face characteristics points, overcome the defects of poor Robustness of purely extracting human face characteristics points from a two-dimensional image and increase the accuracy for human face type classification.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] Embodiments of the present invention relate to the technical field of computer vision, and in particular to a method and system for classifying human faces. Background technique

[0002] Face feature parameters refer to information such as the position and shape of each part in the face image, which is an important part of face image analysis. It can be widely used in beauty and hairdressing, glasses wearing, plastic surgery and other fields. Moreover, the facial feature parameters are also an important basis for the classification of human faces.

[0003] There are many face feature parameter extraction methods based on optical two-dimensional images, but the gray distribution of two-dimensional face images is more complex, and it is affected by the illumination of the imaging process, the size of the image, the distance, rotation and posture changes. , which makes it very difficult to extract face feature parameters correctly, and even the extractio...

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