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A Hybrid Camera Calibration Method in Urban Environment

A hybrid camera and urban environment technology, applied in image analysis, image enhancement, instrumentation, etc., can solve problems such as lack of building tracking methods

Active Publication Date: 2020-12-25
ZHEJIANG UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem of lack of tracking methods for urban outdoor buildings, the present invention provides a hybrid camera calibration method in an urban environment. The position information of the camera is obtained through high-precision GPS, and the orientation information of the camera is obtained through a gyroscope, and then the extrinsics of the camera

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  • A Hybrid Camera Calibration Method in Urban Environment
  • A Hybrid Camera Calibration Method in Urban Environment
  • A Hybrid Camera Calibration Method in Urban Environment

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Embodiment Construction

[0020] With reference to accompanying drawing, further illustrate the present invention:

[0021] A hybrid camera calibration method based on GIS technology, including the following steps:

[0022] Step 1. Manually calibrate the first frame.

[0023] Step 2. For each subsequent frame: track through the computer vision algorithm, if the tracking fails, go to step 3.

[0024] Step 3. Obtain the GPS and gyroscope data in the current frame, calculate the extrinsic parameter matrix and track the target, and then go to step 2.

[0025] In step 1, the internal parameter matrix K of the camera needs to be provided, and its form is as follows:

[0026]

[0027] where f x and f y are the focal lengths of the camera in the horizontal and vertical directions, respectively, u 0 and v 0 are the principal point offsets in the horizontal and vertical directions. Then obtain the 2D point positions of the specified four 3D points on the image through mouse interaction, and then calcul...

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Abstract

The hybrid camera calibration method in the urban environment can combine high-precision GPS, gyroscope data and computer vision tracking algorithms to achieve real-time urban building tracking in complex environments. It includes the following steps: First, perform manual calibration on the first frame to obtain the camera The external parameter matrix of , then GPS and gyroscope data are used to obtain camera external parameters to achieve target tracking in the current frame, while the next frame still uses the computer vision tracking algorithm. Through continuous looping between computer vision tracking algorithms and high-precision GPS and gyroscope data tracking methods, each frame in the video is tracked in real time until the end of the tracking.

Description

technical field [0001] The invention relates to a hybrid camera calibration method. Background technique [0002] With the development of technology, more and more cities have constructed complete 3D model scenes, which is of great significance for how to effectively plan cities. The complete urban 3D scene also provides a wealth of 3D architectural models, which provide rich materials for the online visual registration of urban buildings. The online visual registration of urban buildings is to solve the camera position and attitude information based on the 3D-2D corresponding points in continuous video frames. Has a wide range of applications. [0003] In urban scenes, due to the occlusion problem between buildings, trees, pedestrians, and vehicles will also occlude buildings; in addition, the surface texture information of buildings is various, and it is difficult to deal with it uniformly, and light and shadow have great influence on texture. Information also has a lar...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/80G06T7/246G06T3/00
CPCG06T7/80G06T7/246G06T2207/10016G06T3/06
Inventor 彭鹤年陈佳舟陆鹏飞秦绪佳
Owner ZHEJIANG UNIV OF TECH
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