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Census transformation-based binocular stereo matching method

A technology of binocular stereo matching and matching cost, applied in the field of computer vision, can solve the problems of long operation time and inability to form a disparity map, and achieve the effect of improving matching accuracy

Active Publication Date: 2019-11-19
SHENYANG POLYTECHNIC UNIV
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Problems solved by technology

Although these algorithms take a long time to calculate and produce some mismatches, they can basically obtain all the disparity information to generate dense disparity maps.
[0004] However, the current matching method cannot form a higher-precision disparity map, especially in occluded areas and edge discontinuities to obtain more accurate disparity

Method used

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  • Census transformation-based binocular stereo matching method
  • Census transformation-based binocular stereo matching method
  • Census transformation-based binocular stereo matching method

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Embodiment Construction

[0040] Below in conjunction with accompanying drawing, the present invention will be further described:

[0041] Such as figure 1 As shown, a binocular stereo matching method based on Census transformation, specifically includes the following steps:

[0042] Step 1: Initialization: Input an image pair, and use the left image and right image in the image pair as the reference image and the target image respectively.

[0043]Step 2: Matching cost calculation: The reference image and the target image are replaced by the central pixel of the window with the median value of the neighborhood as the threshold for Census transformation, and the Gaussian color model and gradient operator are introduced to calculate the stereo matching cost through weighted fusion.

[0044] In the Census transform, the improvement of the census transform by replacing the central pixel with neighboring pixels can solve the problem that the central pixel is easily affected by noise and illumination chang...

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Abstract

The invention relates to the field of computer vision and the technical field of image processing, in particular to a census transformation-based binocular stereo matching method. The method comprisesthe steps of initialization, matching cost calculation, cost aggregation, parallax calculation and parallax optimization. An existing matching method based on Census transform cannot form a disparitymap with higher precision, and particularly, more accurate disparity can be obtained in a shielding area and an edge. The binocular stereo matching method is improved on the basis of the prior art. The matching precision of the binocular stereo matching method is improved. A good foundation is laid for the subsequent three-dimensional reconstruction process.

Description

Technical field: [0001] The invention relates to the field of computer vision and image processing technology, in particular to a binocular stereo matching method based on Census transformation. Background technique: [0002] Computer vision is a subject that studies the use of computers to simulate the human visual system. The efficiency of human perception of information in images is far higher than that of other media such as text. Up to 80% of the total information obtained by humans relies on the visual system. Binocular stereo matching is an important branch in the field of computer vision, which processes the real world by simulating the human visual system. With the advancement of science and technology in society, the development of stereo matching technology is changing with each passing day. With the improvement of the accuracy and speed of matching algorithms, its application scenarios have been further expanded. In this context, the study of stereo matching bec...

Claims

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Application Information

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IPC IPC(8): G06T7/13G06T7/33G06T7/37G06T7/90
CPCG06T7/13G06T7/37G06T7/90G06T7/344G06T2207/20016
Inventor 魏东樊启明蒋晓彤张晨崔泽璐
Owner SHENYANG POLYTECHNIC UNIV
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