Image correction method and system, electronic equipment and storable medium

A technology of image correction and shooting equipment, applied in the field of data processing, which can solve problems such as the inability to guarantee the vertical state of the object being photographed, perspective error, and non-parallel between people and the image plane, so as to improve the robustness of recognition, improve the accuracy, and model accuracy Effect

Inactive Publication Date: 2020-01-21
深圳市图郅创新科技有限公司
View PDF8 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But there is no guarantee that the object being photographed is also in a vertical state
For human body modeling, if the person leans forward or backward when taking pictures, or the camera is not vertical, it will cause the person to be out of parallel with the image plane and introduce perspective errors.

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
  • Image correction method and system, electronic equipment and storable medium
  • Image correction method and system, electronic equipment and storable medium
  • Image correction method and system, electronic equipment and storable medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0034] In the embodiment of the image correction method and its system, electronic equipment and storage medium of the present invention, the flow chart of the image correction method is as follows figure 1 shown. figure 1 In the above, taking the rectification of a frontal human body image as an example, the image rectification method includes the following steps: Step S1: taking a depth map of a human body and an RGB image of a human body.

[0035] Step S2:...

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 an image correction method and system. The method comprises the following steps: obtaining a depth map and an RGB image of a shooting target; setting at least one feature region on the depth map and/or the RGB map; acquiring a depth value of the feature region and a corresponding position of the feature region on the depth map or the RGB map, and calculating to obtain a target transformation matrix; and correcting the RGB image according to the target transformation matrix and parameters of shooting equipment. The RGB image is corrected based on the depth map, so that an accurate RGB image can be obtained.

Description

technical field [0001] The invention relates to a data processing method, in particular to an image correction method and its system, electronic equipment and a storage medium. Background technique [0002] Deep learning is an algorithm based on representation learning of data in machine learning. Observations (such as an image) can be represented in a variety of ways, such as a vector of intensity values ​​for each pixel, or more abstractly as a series of edges, regions of a specific shape, etc. However, in recent years, deep learning has attracted more and more attention, and has been applied in many imaging fields, including face recognition and human body posture recognition. However, most of the image processing technologies based on deep learning are based on three primary color (RGB) image processing technologies. Therefore, the disadvantages of the existing technologies are high training costs, poor real-time performance, and high requirements for the complexity of ...

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): G06T7/50G06T7/70G06T7/90G06T5/00
CPCG06T7/50G06T7/90G06T5/001G06T5/008G06T7/70
Inventor 欧阳铖
Owner 深圳市图郅创新科技有限公司
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