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

Illumination-insensitive fast stereo matching method based on local linear model

A local linear and stereo matching technology, applied in the field of computer vision and image processing, can solve the problem of insignificant improvement effect, and achieve the effect of good robustness and quality improvement.

Active Publication Date: 2017-03-29
WENZHOU UNIVERSITY
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Then Heo YS, Lee KM, Lee SU et al. 2009 in ComputerVision and Pattern Recognition, IEEE Conference on, Miami, pp.445-452 paper Mutual information-based stereo matching combined with SIFT descriptor inlog-chromaticity color space, and Combining SIFT to construct the joint probability density function of the left and right images, but the improvement effect is not obvious

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
  • Illumination-insensitive fast stereo matching method based on local linear model
  • Illumination-insensitive fast stereo matching method based on local linear model
  • Illumination-insensitive fast stereo matching method based on local linear model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] Embodiments of the present invention will be further described below with reference to the accompanying drawings:

[0050] Such as figure 1 As shown, the illumination insensitive fast stereo matching method based on local linear model described in this embodiment includes the following steps:

[0051] First input the left and right images of the stereo image to be processed, and convert the left and right stereo images from the RGB color space to the CIE-Lab color space;

[0052] The transformation method that described left and right stereoscopic images are converted to CIE-Lab color space from RGB color space is as follows:

[0053]

[0054] In the formula, R, G, and B respectively represent the red, green, and blue color values ​​of the image, L is the brightness channel value, and a and b are the color channel values.

[0055] The present invention is based on a local linear model, which is similar in form to the local image matting model. The local linear mode...

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 illumination-insensitive fast stereo matching method based on a local linear model. It is hard for a mainstream method in the prior art to realize accurate matching under the condition of illumination inconsistency; before matching, color correction of a stereo image is carried out first; and however, it is very difficult to obtain a color-consistent stereo image, and still no algorithm can finish accurate stereo image correction at present. The method is characterized by converting an RGB color space of an image into a CIE-Lab color space; based on the local linear model, eliminating influence of illumination inconsistency on stereo image left-right view matching; carrying out processing through an improved NCC matching algorithm based on steerable filtering; and finally, carrying out stereo disparity image solving on matching cost. The method can carry out matching no longer on dependence of the color information in stereo image left and right images in the stereo matching process, so that operating efficiency and matching accuracy are high, and the problem that it is hard for stereo matching to realize accurate matching under the condition of illumination inconsistency is effectively solved.

Description

technical field [0001] The invention relates to the technical fields of computer vision and image processing, in particular to an illumination-insensitive fast stereo matching method based on a local linear model. Background technique [0002] In recent years, stereoscopic media has attracted more and more people's attention, so the editing of stereoscopic images has become more and more important. The stereo image matching algorithm is the basis of stereo image editing, so to speak, according to Luo S-J, Sun Y-T, Shen I-C, Chen B-Y, Chuang Y-Y published in IEEE transactions on visualization and computer graphics volume 21, issue 1, page 56-67 in 2015 The paper Geometrically consistent stereoscopic image editing using patch-based synthesis, and Gong Yongyi, Guan Boliang, Zeng Kun, Li Kehong, Wu Hefeng, Luo Xiaonan’s paper published in the Journal of Computer Science No. 39, page 1-17 in 2016, three-dimensional seam carving in the vertical direction According to the scaling ...

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): G06T7/33
CPCG06T2207/10012
Inventor 邵靖凯厉旭杰沈顺辉
Owner WENZHOU UNIVERSITY
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