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SIFT-based 3D image reconstruction method for asphalt pavement micro texture with binocular vision

A technology of asphalt pavement and binocular vision, which is applied in the field of SIFT-based binocular vision asphalt pavement micro texture 3D image reconstruction, can solve the problem that the micro texture of asphalt pavement cannot be extracted and reconstructed quickly and accurately, and achieve fast and accurate extraction and The effect of refactoring

Inactive Publication Date: 2017-11-28
WUHAN UNIV OF SCI & TECH
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Problems solved by technology

[0005] The purpose of the present invention is to provide a binocular vision asphalt pavement micro-texture three-dimensional image reconstruction method based on SIFT, which solves the problem that the current method cannot quickly and accurately extract and reconstruct the asphalt pavement micro-texture

Method used

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  • SIFT-based 3D image reconstruction method for asphalt pavement micro texture with binocular vision
  • SIFT-based 3D image reconstruction method for asphalt pavement micro texture with binocular vision
  • SIFT-based 3D image reconstruction method for asphalt pavement micro texture with binocular vision

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Embodiment 1

[0072] Example 1: According to the principle of the binocular vision system, the reconstruction model of the three-dimensional image of the microscopic texture of the asphalt pavement is as follows: figure 2 shown. Take the center of the measuring platform as the origin, establish the world coordinate system O-XYZ, and take the optical center O of the left camera and the right camera l and O r is the origin of the camera coordinate system, the Z axis coincides with the optical axis, the two optical axes are parallel to each other, and the left camera and right camera coordinate systems are established O l -X l Y l Z l and O r -X r Y r Z r . C l and C r Left and right image planes, o l and o r is the projection point of the optical center. to o l and o r As the origin of the left and right image plane coordinate system, establish the left and right image plane coordinate system o l -x l the y l and o r -x r the y r. Now assume that any point P(X, Y, Z) o...

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Abstract

The invention discloses an SIFT-based (scale-invariant feature transform) binocular vision three-dimensional image reconstruction method of asphalt pavement micro-texture. A computer in a binocular vision system controls a left camera and a right camera to simultaneously acquire an image pair containing asphalt pavement information; feature point matching is performed through a binocular vision stereo matching algorithm based on an SIFT algorithm, further allowing regional point stereo matching; three-dimensional coordinates of the f asphalt pavement micro-texture are acquired through a binocular vision three-dimensional image reconstruction model of the asphalt pavement micro-texture, a surface point three-dimensional coordinate set is formed, and three-dimensional image reconstruction of the asphalt pavement micro-texture is achieved. The real three-dimensional image reconstruction model of the asphalt pavement micro-texture is provided for mechanical and hydro-mechanical finite element analysis of asphalt pavements, and basis is laid for following searches.

Description

technical field [0001] The invention belongs to the technical field of asphalt pavement detection, and relates to a SIFT-based binocular vision asphalt pavement micro texture three-dimensional image reconstruction method. Background technique [0002] With the development of expressway construction and management in our country, road users put forward requirements for the economic, safety, comfort and environmental protection functions of the road surface. Some foreign research data show that the road surface texture can affect the wear resistance of the road surface, the friction between the tire and the road surface, the noise of the vehicle, the noise of the external road surface, the safety and comfort of driving, and the wear and tear of the tire. Asphalt pavement is a vehicle-road friction surface. Domestic scholars such as Mao Qiguang and Li Zhu have also found that microscopic morphology affects the friction surface's wear, lubrication state, friction, vibration, noi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T17/00G06T15/04
CPCG06T15/04
Inventor 周兴林冉茂平严园邹兰林谢旭飞
Owner WUHAN UNIV OF SCI & TECH
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