Stereoscopic vision matching method based on adaptive feature window

A stereo vision matching and stereo matching technology, which is applied in image data processing, instruments, computing, etc., can solve the problem of inability to guarantee the generalization ability, and achieve the effect of ensuring the generalization adaptability, improving time efficiency, and improving accuracy.

Inactive Publication Date: 2015-04-29
XI AN JIAOTONG UNIV
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Problems solved by technology

However, in practical applications, there is no way to guarantee the generalization ability of the results o

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  • Stereoscopic vision matching method based on adaptive feature window
  • Stereoscopic vision matching method based on adaptive feature window
  • Stereoscopic vision matching method based on adaptive feature window

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[0043]The present invention will be further described in detail below in conjunction with specific embodiments, which are explanations of the present invention rather than limitations.

[0044] If a connection can be established between the feature selection result and its working environment, so that different feature combinations can be adaptively selected for application in a similar environment, it will effectively relieve the dependence on the generalization ability of feature selection. This application analyzes the various links in stereo vision matching that affect the accuracy of disparity calculation, and finds that feature selection is one of the joint factors to improve stereo matching performance. However, in view of the limited generalization ability of feature selection results, the present invention proposes a gradient image-guided, adaptive feature window stereo matching algorithm.

[0045] Firstly, the present invention proposes related concepts and physical ...

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Abstract

The invention discloses a stereoscopic vision matching method based on an adaptive feature window, and belongs to the technical field of image information processing. The stereoscopic vision matching method comprises the steps of associating feature selection with an intrinsic feature of an image, and training a feature selection classifier on the basis of a logistic regression method; applying the obtained trained feature selection classifier to stereoscopic matching in an actual scene, selecting a proper feature window, carrying out matching cost calculation by combining a color feature, carrying out matching cost aggregation on the basis of a partition tree method, and finally calculating a parallax result of the stereoscopic matching according to a winner retaining mode. According to the method, the stereoscopic matching is carried out by selecting the proper feature according to the actual application scene, so that the matching performance can be effectively improved, and the parallax calculation precision is improved.

Description

technical field [0001] The invention belongs to the technical field of image information processing, and in particular relates to a stereo vision matching method based on an adaptive feature window. Background technique [0002] Stereo vision aims to obtain the distance information of the environment based on the image information obtained by the camera, through image matching, spatial geometric calculation and other methods. Stereo vision has a wide range of applications in security monitoring, human-computer interaction, intelligent transportation and other fields. In recent years, it has attracted the attention of many researchers and has become one of the research hotspots in the field of computer vision. Binocular stereo vision is the most widely used and researched configuration. It uses the left and right cameras to obtain the left and right frames of the same scene, and calculates the parallax of the left and right frames, and then applies the corresponding geometric...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/593G06T7/33G06T2207/10012G06T2207/20081
Inventor 吕娜罗靖尹涛李腾飞
Owner XI AN JIAOTONG UNIV
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