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

Method for correcting distortion in real time based on GPU camera and video camera

A distortion correction and camera technology, applied in the field of GPU-based camera/camera real-time distortion correction, can solve problems such as manufacturing process difficulty, design difficulty, and complexity, so as to solve optical distortion problems, improve correction accuracy, and reduce processing costs. Effect

Inactive Publication Date: 2009-11-04
CHANGCHUN UNIV OF SCI & TECH
View PDF0 Cites 46 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the use of wide-angle lenses will inevitably have obvious optical distortion. The existence of distortion prevents doctors from correctly judging the lesion, and cannot use it to perform high-precision measurement. Therefore, the method of distortion correction is very important.
However, the use of optical methods to correct distortion often produces a complex optical system, which not only makes the design more difficult, but also brings certain difficulties to the manufacturing process, which increases the manufacturing cost of the optical system

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
  • Method for correcting distortion in real time based on GPU camera and video camera
  • Method for correcting distortion in real time based on GPU camera and video camera
  • Method for correcting distortion in real time based on GPU camera and video camera

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] Depend on image 3 The shown grid calibration-based correction technique process flow is divided into two parts. Distortion calibration (010): First, perform preprocessing operations on the deformed grid image, such as smoothing, inversion, threshold transformation, etc., and extract the actual coordinates (X real [i], Y real [i]), (where: i=1, 2, ..., N); secondly, calculate the ideal coordinates of feature points (X idea [i], Y idea [i]); After obtaining the coordinate pair, the distortion coefficient P is obtained by matching the actual coordinates and ideal coordinates of N feature points, thereby establishing the space coordinate transformation equation X idea [ i ] = ( X real ...

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 method for correcting distortion in real time based on a GPU camera and video camera. The method adopts digital image processing technology to calculate a system of nonlinear equations consisting of two radial distortion coefficients, two centrifugal distortion coefficients and two thin prism distortion coefficients by a least square method in a correction algorithm based on a planar grid model so as to obtain a space transformation equation, and carries out synchronous spatial alternation on pixel spots of an image shot by an imaging system so as to obtain an image after distortion correction. The method solves the problem of optical distortion, and improves the correction precision to sub-pixel grade; through adopting the GPU technology with parallel processing capability, the processing velocity is improved by over 40 times, realizing real-time distortion correction (over 30 frame / second) of an 1920*1080 high-definition image, and reducing the processing cost for lens optical design by 20 to 70 percent.

Description

technical field [0001] The method relates to a real-time distortion correction method for a camera / video camera based on a programmable GPU, and is widely applicable to reducing the optical distortion generated when a digital camera, a high-definition video camera, a medical endoscope, etc. use a short focal length wide-angle lens to shoot a large field of view object, The authenticity and accuracy of the image are guaranteed; at the same time, the method can realize real-time correction of distorted images, and can be used in real-time online processing occasions such as video streaming and medical diagnosis. Background technique [0002] Video information processing systems are widely used in the fields of industry, transportation, medical treatment, military affairs, culture and entertainment, etc. In order to obtain video information of a wide range of scenes, short-focus camera lenses have to be used to capture large-scale scenes. For example, in order to obtain more ob...

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): H04N17/00G06T7/00
Inventor 丁莹范静涛杨华民姜会林韩成陈纯毅赵义武
Owner CHANGCHUN UNIV OF SCI & TECH
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