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Method for three-dimensional reconstruction of straight-line optical flow field based on intelligent optimization algorithm

An intelligent optimization algorithm and 3D reconstruction technology, applied in computing, 3D modeling, genetic models, etc., can solve problems such as low abstraction level, poor computing efficiency, poor robustness, etc., to solve robustness problems, improve accuracy, The effect of solving the reconstruction problem

Inactive Publication Date: 2012-09-19
NANCHANG HANGKONG UNIVERSITY
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Problems solved by technology

In recent years, the 3D reconstruction method based on the optical flow field has developed rapidly, but there are two fatal problems in the traditional method: one is to reconstruct the 3D motion and structure based on the pixel optical flow field, which not only has a low level of abstraction, but also has poor computational efficiency. In particular, it cannot solve the reconstruction problem at the occlusion boundary of the scene; second, the calculation accuracy of the 3D reconstruction method is not high, the robustness is poor, and the correct result is often not obtained

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  • Method for three-dimensional reconstruction of straight-line optical flow field based on intelligent optimization algorithm
  • Method for three-dimensional reconstruction of straight-line optical flow field based on intelligent optimization algorithm
  • Method for three-dimensional reconstruction of straight-line optical flow field based on intelligent optimization algorithm

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Embodiment Construction

[0009] The mechanical parts are placed on a platform that can rotate and translate, given a small amount of rotation and translation in the horizontal space, a monocular camera is used to obtain three frames of images of the parts moving. figure 1 is the edge detection result. The experimental environment sets the Y axis of the space coordinate system to be perpendicular to the horizontal plane, the angle between frames is rotated by 3°, the displacement between frames is 2 mm along the Z axis, the focal length of the camera is f=300, and the captured video format adopts the international standard NTSC system, that is, 30 frames per second , the image resolution is 800×600. From the initially set rotation angle and translation amount, it can be calculated that the rotation parameters of the mechanical parts are about ω 1 = ω 3 = 0, ω 2 = 0.0522 radians / frame, the translation speed along the Z axis is about t 3 = 6 pixels / frame.

[0010] Straight lines are extracted and ma...

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Abstract

The invention relates to a method for the three-dimensional reconstruction of a straight-line optical flow field based on an intelligent optimization algorithm, which is characterized by comprising the following steps of: shooting at least three continuous frames of images of an object in a scene by a fixed camera to form an image sequence, extracting the straight-line profile of the object in the scene and taking a straight line as a characteristic; under a perspective projection model, eliciting a relationship between the motion parameter of the straight-line profile of a moving rigid object in a 3D space and a two-dimensional straight-line optical field on a projection image of the moving rigid object, expressing the relationship by a straight-line optical flow equation group and constructing a physical model and a mathematical model of a three-dimensional reconstruction algorithm. The invention has the advantages of realizing the three-dimensional reconstruction and the moving target division of an object with a straight-line profile in a scene quickly, solving the problems of robustness of the three-dimensional reconstruction algorithm and reconstruction of a shielding boundary of the scene effectively and enhancing the accuracy of three-dimensional reconstruction effectively.

Description

technical field [0001] The invention relates to a three-dimensional reconstruction method of a linear optical flow field, in particular to a three-dimensional reconstruction method of a linear optical flow field based on an intelligent optimization algorithm. Background technique [0002] The real world is three-dimensional. For a long time, due to the limitation of the development level of science and technology, most of the data we can obtain and effectively process and analyze are two-dimensional data, which makes the three-dimensional information of a large number of objects lost. With the development of computer technology, people's access to information has shifted from traditional two-dimensional plane images to three-dimensional images. In recent years, the 3D reconstruction method based on the optical flow field has developed rapidly, but there are two fatal problems in the traditional method: one is to reconstruct the 3D motion and structure based on the pixel opti...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T17/00G06N3/02G06N3/12
Inventor 陈震
Owner NANCHANG HANGKONG UNIVERSITY
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