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Two step parallax improvement method based on adaptive support weight matching algorithm and system

A matching algorithm and adaptive technology, applied in the field of computer vision, to achieve the effect of improving matching accuracy

Inactive Publication Date: 2016-06-01
WUHAN UNIV OF TECH
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Problems solved by technology

However, there are few algorithms that improve the matching accuracy of the adaptive support weight matching algorithm from the perspective of parallax improvement.

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  • Two step parallax improvement method based on adaptive support weight matching algorithm and system
  • Two step parallax improvement method based on adaptive support weight matching algorithm and system
  • Two step parallax improvement method based on adaptive support weight matching algorithm and system

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Embodiment Construction

[0039] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0040]The embodiment of the present invention is based on a two-step parallax improvement method based on an adaptive support weight matching algorithm, which includes the following three steps:

[0041] (1), carry out adaptive support weight matching algorithm on the left and right original images to obtain the original disparity image;

[0042] (2) Perform left-right consistency detection on the obtained original disparity map, and initially correct the disparity values ​​of the detected inconsistent pixels by using the variable cross-domain voting method and the fixed-window voting method;

[0...

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Abstract

The invention discloses a two step parallax improvement method based on adaptive support weight matching and a system. The two step parallax improvement method comprises steps of performing adaptive support weight matching algorithm on a left source image and on a right source image to obtain an original parallax image, performing left-right consistency detection on the obtained original parallax image, adopting a variable cross domain voting law and a fixed window voting law to perform initial correction on the parallax value of the inconsistent pixel point, dividing the error matching area existing in the corrected parallax image into an abnormal area and a fault edge area, and performing the secondary correction. The invention can overcome the accuracy insufficiency of the adaptive support weight algorithm and improves the matching accuracy.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a parallax improvement algorithm for stereo matching in computer vision. Background technique [0002] Computer vision aims to track, measure and identify targets by simulating human eyes through cameras. It is widely used in many fields such as intelligent transportation, crack detection, and three-dimensional reconstruction. Binocular vision is an important branch of computer vision. Binocular vision aims to obtain the three-dimensional information of the object by calculating the parallax of the object in the two images through the left and right images obtained by the left and right cameras. In the process of restoring the 3D information of objects, stereo matching is the most important and core step. The accuracy of stereo matching has the most direct relationship with the extracted 3D coordinates. Therefore, it is very important to improve the accuracy of stereo matching algo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 周祖德刘佳宜刘泉谭跃刚张帆
Owner WUHAN UNIV OF TECH
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