Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Face image processing method and device for model training

A face image and model training technology, applied in image data processing, image analysis, character and pattern recognition, etc., can solve the problem of high complexity of the model training process

Active Publication Date: 2020-04-03
MOMENTA SUZHOU TECH CO LTD
View PDF3 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When using such face images to train the model, the complexity of the model training process is high

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
  • Face image processing method and device for model training
  • Face image processing method and device for model training
  • Face image processing method and device for model training

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0095] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0096] It should be noted that the terms "including" and "having" in the embodiments of the present invention and the drawings and any variations thereof are intended to cover non-exclusive inclusions. For example, the process, method, system, product, or device that contains a series of steps or units is not limited to the listed steps or units, but optionally includes unlisted steps or units, or optionally also includes Other steps or units inhere...

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 embodiment of the invention discloses a face image processing method and device for model training. The method comprises the following steps: determining coordinates of a plurality of first specified face key points in a face image acquired by a real camera in a real camera coordinate system; determining a first virtual camera coordinate system defined by each first specified face key point inthe face image according to the determined coordinates and a definition relationship between a preset virtual camera coordinate system and each first specified face key point; and converting the faceimage to a two-dimensional imaging plane corresponding to the first virtual camera coordinate system according to the conversion relationship between the first virtual camera coordinate system and the real camera coordinate system, a preset internal reference matrix of the virtual camera and an internal reference matrix of the real camera. By applying the scheme provided by the embodiment of theinvention, different influences of a real camera on the face image can be eliminated, so that the complexity of a model training process can be reduced when the processed face image is used for modeltraining.

Description

Technical field [0001] The present invention relates to the technical field of intelligent driving, and in particular to a method and device for processing facial images for model training. Background technique [0002] The face pose detection model can detect the face pose in the face image. The obtained face pose can be used in fields such as line-of-sight tracking or object behavior analysis. Among them, the face attitude may include the pitch angle (pitch), the yaw angle (Yaw) and the roll angle (Roll) of the head. [0003] When training the face pose detection model, it is necessary to collect a large number of face images as samples in advance, and label each angle in each face image. Since the face poses in the collected face images are different, the positional relationship between the corresponding camera and the face is also different. In order to train a more accurate model, it is necessary to obtain parameters such as the distance between the camera and the face imag...

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): G06K9/00G06T7/80
CPCG06T7/80G06V40/171
Inventor 侯喆王晋玮
Owner MOMENTA SUZHOU TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products