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Stereo matching method and stereo matching device

A technology of stereo matching and preset direction, applied in the field of image processing, can solve the problems of reducing the complexity of the stereo matching process, and achieve the effect of reducing the complexity, ensuring the accuracy, and reducing the amount of calculation.

Inactive Publication Date: 2017-06-09
SPREADTRUM COMM (SHANGHAI) CO LTD
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AI Technical Summary

Problems solved by technology

[0007] The problem to be solved by the present invention is how to reduce the complexity of the stereo matching process while ensuring the accuracy of the stereo matching

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  • Stereo matching method and stereo matching device
  • Stereo matching method and stereo matching device
  • Stereo matching method and stereo matching device

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Embodiment Construction

[0056] At present, when using the dense matching algorithm for stereo matching, it is either based on a local constraint method for stereo matching, or based on a global constraint method for stereo matching. Compared with the stereo matching based on the global constraint method, the stereo matching based on the local constraint method is less complex, but it is more sensitive to noise, no texture, discontinuous disparity or disparity estimation in occluded areas. , that is, the accuracy of stereo matching is low. Compared with the stereo matching based on the local constraint method, the stereo matching based on the global constraint method can transform the matching problem into a global optimization problem of energy function, but it has high computational complexity, which is not conducive to real-time processing.

[0057] In view of the above problems, the embodiment of the present invention provides a stereo matching method. When the method obtains the cumulative matchi...

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Abstract

The invention discloses a stereo matching method and a stereo matching device, which can carry out stereo matching on a first image and a second image. The method comprises steps: the first image is used as a reference image, and cost images according to different parallax distances are acquired; cost aggregation is carried out on matching cost values of each pixel point in the first image in the case of different parallax distances; according to the matching cost values after cost aggregation, a first preset penalty coefficient and a second preset penalty coefficient, dynamic programming operation is carried out on the cost images corresponding to the different parallax distances in a preset direction respectively, an accumulated matching cost value of each pixel point in the case of different parallax distances in different preset directions is acquired, and according to the accumulated matching cost value, an actual parallax value of a corresponding pixel point is acquired; and refinement processing is carried out on the acquired actual parallax value of each pixel point, and a parallax estimation map for the first image and the second image is acquired. Thus, the stereo matching accuracy can be ensured, and the complexity during the stereo matching process can be reduced.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a stereo matching method and device. Background technique [0002] As dual-camera configurations become increasingly common in mobile terminals such as mobile phones, a binocular image depth estimation method suitable for mobile terminals such as mobile phones becomes very important. [0003] At present, in the process of binocular image depth estimation, after lens calibration and correction, stereo matching is required, that is, to estimate the correspondence of each pixel in one image (such as the left view) in another image (such as the right view) The stereo matching (Stereo Matching) relationship, so that the disparity estimation value of each pixel of the image can be obtained, and then a disparity estimation map (Disparity Map) can be obtained. According to the optical principle, the disparity estimation map is inversely proportional to the actual distance of th...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06V10/758
Inventor 陈敏杰郭春磊李昂林福辉
Owner SPREADTRUM COMM (SHANGHAI) CO LTD
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