Stereo matching algorithm for weak texture region

A stereo matching and weak texture technology, applied in computing, image data processing, instruments, etc., can solve the problem of no robust matching algorithm, and achieve the effect of reducing the amount of calculation and high accuracy

Active Publication Date: 2018-09-28
SOUTH CHINA UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0005] At present, most studies on the improvement of stereo matching algorithms focus on improving the first two steps, but there is no very robust matching algorithm proposed, and most of them need to design corresponding matching methods according to image characteristics and processing requirements

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  • Stereo matching algorithm for weak texture region
  • Stereo matching algorithm for weak texture region
  • Stereo matching algorithm for weak texture region

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Embodiment

[0042] like Figure 1-Figure 4 As shown, a stereo matching algorithm for weak texture regions includes the following steps:

[0043] S1 performs image correction on the input image, and performs scale transformation on the corrected image pair to obtain image pairs at different scales. The corrected image pair includes the left image and the right image, and the left image is selected as the reference image.

[0044] For human vision, when observing the same image from far to near, the size, degree of blur and main information observed are different. The multi-scale transformation of the image is similar in nature, and the image pyramid is a kind of multi-scale expression of the image, which is a collection of images arranged layer by layer with gradually reduced resolution and gradually reduced size. The Gaussian pyramid is the most commonly used one in practical applications. By constructing a Gaussian pyramid, the main features of images at different scales are highlighted...

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Abstract

The invention discloses a stereo matching algorithm for a weak texture area. Firstly, Gaussian sampling is performed on an input image to construct to-be-matched image pairs at different scales; and then, the canny algorithm is used for performing edge detection on an original image to detect the edge of the object and mark off a low texture area; a smaller cost aggregation window is set for the edge area; for the low texture area, the constrained consistency of the same pixel between different scales is emphasized; the improved sliding window method is used for calculating the image pixel pair matching cost at each scale; the feature point matching result is used for delimiting the parallax search range; the aggregate matching cost corresponding to each parallax value in the parallax range is calculated through a multi-scale cost aggregation function; and the parallax value corresponding to the minimum cost is selected as a pixel parallax value; and a dense parallax map is obtained bytraversing the original image pixel. The stereo matching algorithm for a weak texture area in the invention has high matching precision for the low texture area and can effectively reduce mismatching.

Description

technical field [0001] The invention relates to the field of digital image processing, in particular to a stereo matching algorithm for weak texture areas. Background technique [0002] Binocular stereo vision is an important research topic of computer vision. Binocular stereo vision simulates the structure of the human eye through the camera, and compares different image information collected from two different angles in the same scene, and uses the computer to simulate the brain to process and obtain The three-dimensional coordinate information of the object. Binocular stereo vision directly simulates the way humans observe external things, and has the advantages of low cost and high efficiency. [0003] The binocular stereo vision system mainly includes image acquisition, camera calibration, image correction, stereo matching, and 3D reconstruction. Stereo matching is the most important link in stereo vision. It determines the result of the final matching disparity map an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/73G06T7/13
CPCG06T7/13G06T7/73
Inventor 杜娟沈思昀冯颖
Owner SOUTH CHINA UNIV OF TECH
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