Unlock instant, AI-driven research and patent intelligence for your innovation.

Mixed regression-based head pose estimation method

A head posture and posture technology, applied in the field of head posture estimation problem, can solve problems such as inability to estimate head posture

Inactive Publication Date: 2015-03-04
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF2 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Classifiers commonly used in this type of method include Support Vector Machine (Support Vector Machine, SVM), Linear Discriminative Analysis (LDA), Kernel Linear Discriminative Analysis (KLDA), the main disadvantage of this type of method It is impossible to estimate the continuous head pose of the output, see the literature: J.Huang, X.Shao, and H.Wechsler, Face Pose Discrimination using Support Vector Machines (SVM), International Conference on Pattern Recognition, pp.154-156, 1998

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
  • Mixed regression-based head pose estimation method
  • Mixed regression-based head pose estimation method
  • Mixed regression-based head pose estimation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0072] According to the method of the present invention, first collect more than 1000 head images containing various postures and record the head postures corresponding to these images, according to the patent of the present invention, use Matlab or C language to write a head posture estimation program based on hybrid regression, And train the parameters of the corresponding model of the present invention on the collected data, relate to the setting of Gaussian number K in the mixed Gaussian distribution in the training process, generally get K=10; Collect the original image; then extract the gradient orientation histogram features of the head area of ​​the collected image; estimate the head pose corresponding to the image according to the parameters trained before. The method of the present invention can be used for automatic estimation of head poses in various scenarios.

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 mixed regression-based head pose estimation method and belongs to the computer vision and machine learning technical field, in particular relates to a head pose estimation method in visual mapping. The method includes the following steps that: the features of the histograms of oriented gradient of head images are extracted; nonlinear mapping relations between the image features and head poses are established through utilizing a mixed regression model; and finally, pose estimation is performed on a head image to be estimated through utilizing the established mixed regression model. With the above method adopted, poses corresponding to the head images can be estimated accurately and continuously, and a large quantity of computational complexity can be avoided.

Description

technical field [0001] The invention belongs to the technical field of computer vision and machine learning, and relates to the problem of head pose estimation in visual mapping. Background technique [0002] Head pose estimation refers to using machine learning and computer vision methods to accurately and quickly estimate the deflection angle of the corresponding head in the image based on the digital image containing the head, also known as head pose. It is a hot issue in the field of computer vision and machine learning in recent years, and has a wide range of applications in human-computer interaction, safe driving, and attention analysis. For example: in the field of human-computer interaction, the deflection angle of the head can be used to control the direction and position of the computer or machine display; in the field of safe driving, the head posture can be used to assist in the estimation of line of sight, thus prompting the driver to the correct line of sight ...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06V20/653G06V40/169G06V40/10
Inventor 潘力立
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA