Stereo matching method and system

Abstract

The invention discloses a stereo matching method and system. The method comprises steps that a reference image and a target image are acquired, and a parallax area of an aggregation area is determined; a partitioning transformation algorithm is utilized to convert the reference image into an aggregation reference image and convert the target image into an aggregation target image; CENSUS characteristics of the images are respectively calculated to acquire a matching cost value of the aggregation reference image and the aggregation target image; area cost aggregation of each reference partitioning image and the target partitioning image at the corresponding identical partitioning position is respectively calculated; if the matching cost value is greater than area cost aggregation, the reference partitioning images and the target partitioning images in an area correspondence mode are re-segmented, and area cost aggregation after re-segmentation is calculated till the matching cost value is smaller than each area cost aggregation; a first cost aggregation parallax image of each pixel of each reference partitioning image and the corresponding target partitioning image is calculated. The method is advantaged in that a problem of false matching in the weak texture area can be effectively solved, and low computational complexity and good timeliness are realized.

Description

technical field [0001] The invention relates to the fields of computer vision and image processing, in particular to a stereo matching method and system. Background technique [0002] Stereo matching is an important part of the field of computer vision and a core part of many 3D applications. Currently, stereo matching methods are mainly divided into three categories: local matching methods, global matching methods, and semi-global matching methods. Among them, the local matching method has low complexity and small amount of calculation, but the matching effect is poor; the global matching method can obtain a very good matching effect, but the complexity is too high to achieve real-time processing; and the semi-global matching method has its own The matching effect is between the local algorithm and the global algorithm, but its calculation load is still very large, and it is difficult to apply to places with high real-time requirements. Therefore, considering the matching...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a stereo matching method and system, which can effectively solve the problem of wrong matching in weak texture areas, and can also achieve better matching results in outdoor scenes. At the same time, the amount of calculation is small and the real-time performance is good.

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